Jason H. Moore

Biochemistry, Genetics and Molecular BiologyComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 2%percentile

2.7Author DataRank

Indexed papers

5in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018

Top 13%

1.6DataRank

Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Papers

Driven by 162 papers — median percentile 51. Top paper: “The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases”.

The Ubiquitous Nature of Epistasis in Determining Susceptibility to Common Human Diseases

Human Heredity(2003)10.1159/000073735

N/A

15.6DataRank · unranked

730 citations

Jason H. Moore

The Cosmos Collaborative: A Vendor-Facilitated Electronic Health Record Data Aggregation Platform

ACI Open(2021)10.1055/s-0041-1731004

N/A

8.0DataRank · unranked

117 citations

Adam Frees, Steven Honeywell, Courtney Huang, Andrew M. Naidech, Jason H. Moore +2 more

Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease

European Heart Journal(2022)10.1093/eurheartj/ehac238

N/A

5.2DataRank · unranked

134 citations

Georg Heinze, Ben van Calster, Folkert W. Asselbergs, Panos Vardas, Nico Bruining +6 more

Spatially Uniform ReliefF (SURF) for computationally-efficient filtering of gene-gene interactions

BioData Mining(2009)10.1186/1756-0381-2-5

N/A

5.0DataRank · unranked

149 citations

Nadia M. Penrod, Jeff Kiralis, Jason H. Moore, Casey S. Greene

Multifactor dimensionality reduction for graphics processing units enables genome-wide testing of epistasis in sporadic ALS

Bioinformatics(2010)10.1093/bioinformatics/btq009

N/A

4.7DataRank · unranked

84 citations

Nicholas A Sinnott-Armstrong, Daniel S. Himmelstein, Paul J. Park, Jason H. Moore, Brent T. Harris +2 more

Ant Colony Optimization for Genome-Wide Genetic Analysis

Lecture notes in computer science(2008)10.1007/978-3-540-87527-7_4

N/A

2.7DataRank · unranked

54 citations

Bill C. White, Jason H. Moore, Casey S. Greene

Accelerating epistasis analysis in human genetics with consumer graphics hardware

BMC Research Notes(2009)10.1186/1756-0500-2-149

N/A

2.6DataRank · unranked

46 citations

Casey S. Greene, Fabio Cancare, Jason H. Moore, Nicholas A. Sinnott‐Armstrong, Nicholas A Sinnott-Armstrong

An analysis pipeline with statistical and visualization-guided knowledge discovery for Michigan-style learning classifier systems

IEEE Computational Intelligence Magazine(2012)10.1109/mci.2012.2215124

N/A

2.3DataRank · unranked

65 citations

Ambrose Granizo-Mackenzie, Jason H. Moore, Ryan J. Urbanowicz

Learning feature spaces for regression with genetic programming

Genetic Programming and Evolvable Machines(2020)10.1007/s10710-020-09383-4

N/A

1.7DataRank · unranked

38 citations

Jason H. Moore, William La Cava

Validation of an internationally derived patient severity phenotype to support COVID-19 analytics from electronic health record data

Journal of the American Medical Informatics Association(2021)10.1093/jamia/ocab018

Top 13%

1.6DataRank

Top 13%52 citations

Hossein Estiri, Griffin M. Weber, Bertrand Moal, Paul Avillach, Chuan Hong +36 more

Evolving hard problems: Generating human genetics datasets with a complex etiology

BioData Mining(2011)10.1186/1756-0381-4-21

N/A

1.4DataRank · unranked

27 citations

Casey S. Greene, Jason H. Moore, Daniel S. Himmelstein

Optimal Use of Expert Knowledge in Ant Colony Optimization for the Analysis of Epistasis in Human Disease

Lecture Notes in Computer Science(2009)10.1007/978-3-642-01184-9_9

N/A

1.2DataRank · unranked

23 citations

Jason M. Gilmore, Jeff Kiralis, Peter C. Andrews, Jason H. Moore, Casey S. Greene

Discovery and fine-mapping of height loci via high-density imputation of GWASs in individuals of African ancestry

The American Journal of Human Genetics(2021)10.1016/j.ajhg.2021.02.011

N/A

1.1DataRank · unranked

34 citations

Anne E. Justice, Kristin L. Young, Eirini Marouli, Xinruo Zhang, Rebecca S. Fine +220 more

Using Expert Knowledge to Guide Covering and Mutation in a Michigan Style Learning Classifier System to Detect Epistasis and Heterogeneity

Lecture Notes in Computer Science(2012)10.1007/978-3-642-32937-1_27

N/A

0.974DataRank · unranked

30 citations

Delaney Granizo-MacKenzie, Jason H. Moore, Ryan J. Urbanowicz

Failure to Replicate a Genetic Association May Provide Important Clues About Genetic Architecture

PLoS ONE(2009)10.1371/journal.pone.0005639

N/A

0.844DataRank · unranked

276 citations

Nadia M. Penrod, SCOTT M. WILLIAMS, Jason H. Moore, Casey S. Greene

An Expert Knowledge-Guided Mutation Operator for Genome-Wide Genetic Analysis Using Genetic Programming

Lecture notes in computer science(2007)10.1007/978-3-540-75286-8_4

N/A

0.842DataRank · unranked

33 citations

Bill C. White, Jason H. Moore, Casey S. Greene

ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning

Bioinformatics(2025)10.1093/bioinformatics/btaf031

N/A

0.824DataRank · unranked

20 citations

Hyun‐Jun Choi, Jay Moran, Miguel Hernandez, Mythreye Venkatesan, Xi Li +4 more

Fast genome-wide epistasis analysis using ant colony optimization for multifactor dimensionality reduction analysis on graphics processing units

Proceedings of the 12th annual conference on Genetic and evolutionary computation(2010)10.1145/1830483.1830523

N/A

0.824DataRank · unranked

12 citations

Casey S. Greene, Jason H. Moore, Nicholas A. Sinnott‐Armstrong, Nicholas A Sinnott-Armstrong

Centralized and Federated Models for the Analysis of Clinical Data

Annual Review of Biomedical Data Science(2024)10.1146/annurev-biodatasci-122220-115746

N/A

0.777DataRank · unranked

20 citations

Joseph D. Romano, Yong Chen, Jason H. Moore, Ruowang Li

A Pilot Characterization of the Human Chronobiome

Scientific Reports(2017)10.1038/s41598-017-17362-6

N/A

0.666DataRank · unranked

84 citations

Nicholas F. Lahens, Seth D. Rhoades, Amy Campbell, Kyle Bittinger, Aubrey Bailey +12 more

Validation of a Derived International Patient Severity Algorithm to Support COVID-19 Analytics from Electronic Health Record Data

medRxiv(2020)10.1101/2020.10.13.20201855

Top 30%

0.665DataRank

Top 30%12 citations

Griffin M. Weber, Hossein Estiri, Bertrand Moal, Paul Avillach, Chuan Hong +34 more

Case contamination in electronic health records based case‐control studies

Biometrics(2020)10.1111/biom.13264

N/A

0.570DataRank · unranked

10 citations

Jill Schnall, Aeron Small, Rebecca A. Hubbard, Jason H. Moore, Scott M. Damrauer +2 more

The evolution of computational research in a data-centric world

Cell(2024)10.1016/j.cell.2024.07.045

N/A

0.563DataRank · unranked

15 citations

Karishma Chhugani, Tejasvene Ramesh, Matteo Pellegrini, Sagiv Shifman, Malak S. Abedalthagafi +18 more

Ability of epistatic interactions of cytokine single‐nucleotide polymorphisms to predict susceptibility to disease subsets in systemic sclerosis patients

Arthritis Care & Research(2008)10.1002/art.23836

N/A

0.529DataRank · unranked

33 citations

Francesca Cappiello, Jason H. Moore, Morena Barili, Casey S. Greene, Raffaella Scorza +2 more

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies

Cell Genomics(2025)10.1016/j.xgen.2025.100845

N/A

0.517DataRank · unranked

18 citations

Viorel Munteanu, Michael I. Love, Cynthia Flaire Ronkowski, Dhrithi Deshpande, Annie Wong-Beringer +16 more

A review of feature selection strategies utilizing graph data structures and Knowledge Graphs

Briefings in Bioinformatics(2024)10.1093/bib/bbae521

N/A

0.491DataRank · unranked

9 citations

Pedro Henrique Ribeiro, Christina M. Ramirez, Jason H. Moore, Sisi Shao

Tissue-specific network-based genome wide study of amygdala imaging phenotypes to identify functional interaction modules

Bioinformatics(2017)10.1093/bioinformatics/btx344

N/A

0.477DataRank · unranked

23 citations

Jingwen Yan, Kefei Liu, Sungeun Kim, Kwangsik Nho, Shannon L. Risacher +6 more

Sensible Initialization of a Computational Evolution System Using Expert Knowledge for Epistasis Analysis in Human Genetics

Evolutionary Learning and Optimization(2010)10.1007/978-3-642-12834-9_10

N/A

0.464DataRank · unranked

10 citations

Casey S. Greene, Douglas P. Hill, Jason H. Moore, Douglas Hill, Joshua L. Payne

Environmental Sensing of Expert Knowledge in a Computational Evolution System for Complex Problem Solving in Human Genetics

Genetic and Evolutionary Computation(2009)10.1007/978-1-4419-1626-6_2

N/A

0.445DataRank · unranked

12 citations

Douglas P. Hill, Jason H. Moore, Douglas Hill, Casey S. Greene

A Model Free Method to Generate Human Genetics Datasets with Complex Gene-Disease Relationships

Lecture Notes in Computer Science(2010)10.1007/978-3-642-12211-8_7

N/A

0.441DataRank · unranked

3 citations

Daniel S. Himmelstein, Jason H. Moore, Casey S. Greene

Computational genetics analysis of grey matter density in Alzheimer’s disease

BioData Mining(2014)10.1186/1756-0381-7-17

N/A

0.400DataRank · unranked

9 citations

Jonathan M Fisher, Ting Hu, Peter C. Andrews, Casey S. Greene, Li Shen +6 more

ENABLING PERSONAL GENOMICS WITH AN EXPLICIT TEST OF EPISTASIS

Biocomputing 2010(2009)10.1142/9789814295291_0035

N/A

0.396DataRank · unranked

13 citations

Daniel S. Himmelstein, HEATHER H. NELSON, KARL T. KELSEY, SCOTT M. WILLIAMS, ANGELINE S. ANDREW +3 more

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants and genes

BioData Mining(2023)10.1186/s13040-023-00321-5

N/A

0.379DataRank · unranked

10 citations

Konrad J. Karczewski, Brian Cole, Bao‐Li Loza, Jason H. Moore, Sander W. van der Laan +4 more

Sensible initialization using expert knowledge for genome-wide analysis of epistasis using genetic programming

2009 IEEE Congress on Evolutionary Computation(2009)10.1109/cec.2009.4983093

N/A

0.360DataRank · unranked

10 citations

Bill C. White, Jason H. Moore, Casey S. Greene

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Bioinformatics(2021)10.1093/bioinformatics/btab727

Top 49%

0.359DataRank

Top 49%4 citations

Trang T. Le, William La Cava, John Gregg, Daniel J. Goldberg, Praneel Chakraborty +5 more

Improving QSAR Modeling for Predictive Toxicology using Publicly Aggregated Semantic Graph Data and Graph Neural Networks

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.08.455550

N/A

0.303DataRank · unranked

3 citations

Yun Hao, Jason H. Moore, Joseph D. Romano

Assessing the limitations of relief-based algorithms in detecting higher-order interactions

BioData Mining(2024)10.1186/s13040-024-00390-0

N/A

0.292DataRank · unranked

6 citations

S. Ye, Robert Zhang, Jason H. Moore, Ryan J. Urbanowicz, Philip J. Freda

Ten simple rules for managing laboratory information

PLOS Computational Biology(2023)10.1371/journal.pcbi.1011652

N/A

0.292DataRank · unranked

6 citations

Luis U. Aguilera, Sonja Billerbeck, Philip E. Bourne, Douglas Densmore, Paul Freemont +19 more

A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.

Research Square(2020)10.21203/rs.3.rs-45186/v2

N/A

0.285DataRank · unranked

4 citations

Jason H. Moore, Alena Orlenko

EBIC.JL

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2021)10.1145/3449726.3463197

N/A

0.277DataRank · unranked

3 citations

Patryk Orzechowski, Aleksander Byrski, Jarosław Wăs, Jason H. Moore, Paweł Renc

Embracing study heterogeneity for finding genetic interactions in large‐scale research consortia

Genetic Epidemiology(2019)10.1002/gepi.22262

N/A

0.274DataRank · unranked

5 citations

Jing Huang, Ryan J. Urbanowicz, Kun Chen, Elisabetta Manduchi, Casey S. Greene +4 more

Identification of Novel Genetic Models of Glaucoma Using the “EMERGENT” Genetic Programming-Based Artificial Intelligence System

Genetic and Evolutionary Computation(2015)10.1007/978-3-319-16030-6_2

N/A

0.269DataRank · unranked

5 citations

Casey S. Greene, Douglas P. Hill, Douglas Hill, Jason H. Moore

Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling

BioData Mining(2025)10.1186/s13040-025-00446-9

N/A

0.244DataRank · unranked

3 citations

Jui-Hsuan Chang, Mythreye Venkatesan, Zhiping Paul Wang, Jason H. Moore, Xi Li

Using expert knowledge in initialization for genome-wide analysis of epistasis using genetic programming

Proceedings of the 10th annual conference on Genetic and evolutionary computation(2008)10.1145/1389095.1389158

N/A

0.241DataRank · unranked

4 citations

Bill C. White, Jason H. Moore, Casey S. Greene

Mining High-Level Imaging Genetic Associations via Clustering AD Candidate Variants with Similar Brain Association Patterns

Genes(2022)10.3390/genes13091520

N/A

0.231DataRank · unranked

3 citations

Jingxuan Bao, Mansu Kim, Andrew J. Saykin, Jason H. Moore, Li Shen +2 more

Artificial Immune Systems for Epistasis Analysis in Human Genetics

Lecture Notes in Computer Science(2010)10.1007/978-3-642-12211-8_17

N/A

0.222DataRank · unranked

3 citations

Casey S. Greene, Delaney Granizo-MacKenzie, Jason H. Moore, Nadia M. Penrod

Solving complex problems in human genetics using GP

ACM SIGEVOlution(2008)10.1145/1527063.1527064

N/A

0.208DataRank · unranked

3 citations

Jason H. Moore, Casey S. Greene

treeheatr: an R package for interpretable decision tree visualizations

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.10.196352

N/A

0.202DataRank · unranked

2 citations

Jason H. Moore, Trang T. Le

Perceptual and technical barriers in sharing and formatting metadata accompanying omics studies

arXiv (Cornell University)(2023)10.48550/arxiv.2401.02965

N/A

0.192DataRank · unranked

2 citations

Michael I. Love, Cynthia Ronkowski, Dhrithi Deshpande, Lynn M. Schriml, Annie Wong‐Beringer +11 more

Estimating Prevalence of Human Traits Among Populations From Polygenic Risk Scores

Research Square(2021)10.21203/rs.3.rs-341766/v1

N/A

0.182DataRank · unranked

2 citations

Brian Plotkin, Louis J. Muglia, Jason H. Moore, SCOTT M. WILLIAMS, Britney E. Graham

Distinct network patterns emerge from Cartesian and XOR epistasis models: a comparative network science analysis

BioData Mining(2024)10.1186/s13040-024-00413-w

N/A

0.165DataRank · unranked

2 citations

Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto, Jason H. Moore +2 more

PAGER: A novel genotype encoding strategy for modeling deviations from additivity in complex trait association studies

BioData Mining(2024)10.1186/s13040-024-00393-x

N/A

0.165DataRank · unranked

2 citations

Attri Ghosh, Priyanka Bhandary, Nicholas Matsumoto, Apurva S. Chitre, Jiayan Zhou +5 more

Meta-analysis of Complex Diseases at Gene Level with Generalized Functional Linear Models

UNC Libraries(2020)10.17615/7x9v-z417

N/A

0.132DataRank · unranked

1 citations

Yun Li, Michael Boehnke, Haobo Ren, Christopher I. Amos, Yifan Wang +5 more

A One-Shot Lossless Algorithm for Cross-Cohort Learning in Mixed-Outcomes Analysis

medRxiv(2024)10.1101/2024.01.09.24301073

N/A

0.104DataRank · unranked

1 citations

Luke Benz, Rui Duan, Joshua C. Denny, Håkon Håkonarson, Jonathan D. Mosley +7 more

Improving the interpretability of random forest models of genetic association in the presence of non-additive interactions

Research Square(2020)10.21203/rs.3.rs-45186/v1

N/A

0.104DataRank · unranked

1 citations

Jason H. Moore, Alena Orlenko

Data-driven discovery of medication effects on blood glucose from electronic health records

Patterns(2025)10.1016/j.patter.2025.101312

Top 78%

0.104DataRank

Top 78%1 citations

Caleb Cranney, So Yung Choi, Catherine Bresee, Mourad Tighiouart, Roma Gianchandani +4 more

NO-BOUNDARY THINKING IN BIOINFORMATICS

Biocomputing 2017(2016)10.1142/9789813207813_0060

N/A

0.104DataRank · unranked

1 citations

STEVEN F. JENNINGS, Casey S. Greene, ANDY D. PERKINS, CLARLYNDA WILLIAMS-DEVANE, DONALD C. WUNSCH +6 more

Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome study

2014 8th International Conference on Systems Biology (ISB)(2014)10.1109/isb.2014.6990733

N/A

0.104DataRank · unranked

1 citations

Walter Taylor, Jason H. Moore, Con Sullivan, Carol H. Kim, Casey S. Greene +1 more

Nature-inspired algorithms for the genetic analysis of epistasis in common human diseases: Theoretical assessment of wrapper vs. filter approaches

2009 IEEE Congress on Evolutionary Computation(2009)10.1109/cec.2009.4983027

N/A

0.104DataRank · unranked

1 citations

Jeff Kiralis, Jason H. Moore, Casey S. Greene

Federated Learning for Multicenter Collaborations of Small Biomedical Research Institutions: A Framework for Navigating Challenges and Realizing Opportunities

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.7368975

N/A

0DataRank · unranked

0 citations

Jeffrey Thompson, Brady Hunt, Arnold Song, Brock C. Christensen, Jason H. Moore +3 more

A flexible symbolic regression method for constructing interpretable clinical prediction models

npj Digital Medicine(2023)10.1038/s41746-023-00833-8

N/A

0DataRank · unranked

37 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more

The promise of AI and technology to improve quality of life and care for older adults

Nature Aging(2023)10.1038/s43587-023-00430-0

N/A

0DataRank · unranked

23 citations

Rama Chellappa, Niteesh K. Choudhry, George Demiris, Deepak Ganesan, Jason Karlawish +17 more

Automated quantitative trait locus analysis (AutoQTL)

BioData Mining(2023)10.1186/s13040-023-00331-3

N/A

0DataRank · unranked

17 citations

Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya +15 more

Evidence of epistasis in regions of long-range linkage disequilibrium across five complex diseases in the UK Biobank and eMERGE datasets

The American Journal of Human Genetics(2023)10.1016/j.ajhg.2023.03.007

N/A

0DataRank · unranked

22 citations

Yogasudha Veturi, Scott Dudek, Anastasia Lucas, Alex Frase, Kristel Van Steen +14 more

Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data science

Computational Toxicology(2023)10.1016/j.comtox.2023.100261

N/A

0DataRank · unranked

6 citations

Liang Mei, Jonathan Senn, Jason H. Moore, Holly M. Mortensen, Joseph D. Romano

Impaired neurogenesis with reactive astrocytosis in the hippocampus in a porcine model of acquired hydrocephalus

Experimental Neurology(2023)10.1016/j.expneurol.2023.114354

N/A

0DataRank · unranked

9 citations

Arjun Nair, Jason H. Moore, Leandro Castañeyra-Ruiz, Sarah H. Zwick, Ryan N. Dilger +7 more

Aliro: an automated machine learning tool leveraging large language models

Bioinformatics(2023)10.1093/bioinformatics/btad606

N/A

0DataRank · unranked

6 citations

Jay Moran, Nicholas Matsumoto, Miguel Hernandez, Jason H. Moore, Hyun‐Jun Choi

Preference matrix guided sparse canonical correlation analysis for mining brain imaging genetic associations in Alzheimer's disease

Methods(2023)10.1016/j.ymeth.2023.07.007

N/A

0DataRank · unranked

6 citations

Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Junhao Wen +8 more

Quantifying and correcting bias due to outcome dependent self-reported weights in longitudinal study of weight loss interventions

Scientific Reports(2023)10.1038/s41598-023-41853-4

N/A

0DataRank · unranked

1 citations

Rui Duan, Ruowang Li, Chongliang Luo, Jason H. Moore, Jingsan Zhu +6 more

SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients

PubMed(2023)10.1142/9789811286421_0008

N/A

0DataRank · unranked

16 citations

Xi Li, Jui-Hsuan Chang, Nicholas P. Tatonetti, Dan Theodorescu, Yong Chen +4 more

STAR_outliers: a python package that separates univariate outliers from non-normal distributions

BioData Mining(2023)10.1186/s13040-023-00342-0

N/A

0DataRank · unranked

7 citations

Jason H. Moore, John Gregg

Extending Tree-Based Automated Machine Learning to Biomedical Image and Text Data Using Custom Feature Extractors

(2023)10.1145/3583133.3590584

N/A

0DataRank · unranked

2 citations

Joseph D. Romano, Marylyn D. Ritchie, Jason H. Moore, Rachit Kumar

Class-Balanced Deep Learning with Adaptive Vector Scaling Loss for Dementia Stage Detection

Lecture notes in computer science(2023)10.1007/978-3-031-45676-3_15

N/A

0DataRank · unranked

2 citations

Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Andrew J. Saykin, Jason H. Moore +3 more

Cluster Analysis reveals Socioeconomic Disparities among Elective Spine Surgery Patients

PubMed(2023)10.1142/9789811286421_0028

N/A

0DataRank · unranked

1 citations

Philip J. Freda, Attri Ghosh, Hyun‐Jun Choi, Nicholas Matsumoto, Tiffani J Bright +4 more

Automated quantitative trait locus analysis (AutoQTL)

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.12.523835

N/A

0DataRank · unranked

0 citations

Attri Ghosh, Elizabeth Zhang, Tianhao Luo, Apurva S. Chitre, Oksana Polesskaya +15 more

Improving Genetic Association Studies with a Novel Methodology that Unveils the Hidden Complexity of All-Cause Heart Failure

medRxiv(2023)10.1101/2023.08.02.23293567

N/A

0DataRank · unranked

0 citations

Blanca E. Himes, Folkert W. Asselbergs, Jason H. Moore, John Gregg

An Integrative Bioinformatics Pipeline for NHANES Data Processing for Machine Learning Analysis of Oral Health Outcomes

Research Square(2023)10.21203/rs.3.rs-3645920/v1

N/A

0DataRank · unranked

0 citations

Justin D Mure, Joan I. Gluch, John Gregg, Charlene Compher, Hyun Koo +2 more

KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models

Bioinformatics(2024)10.1093/bioinformatics/btae353

N/A

0DataRank · unranked

95 citations

Jay Moran, Hyun‐Jun Choi, Miguel Hernandez, Mythreye Venkatesan, Paul P. Wang +2 more

The Molecular Twin artificial-intelligence platform integrates multi-omic data to predict outcomes for pancreatic adenocarcinoma patients

Nature Cancer(2024)10.1038/s43018-023-00697-7

N/A

0DataRank · unranked

87 citations

Ognjen Nikolic, Arkadiusz Gertych, Sarah J. Parker, Andrew Hendifar, Pranav Singh +9 more

Artificial Intelligence and Technology Collaboratories: Innovating aging research and Alzheimer's care

Alzheimer s & Dementia(2024)10.1002/alz.13710

N/A

0DataRank · unranked

26 citations

Esther S. Oh, Rama Chellappa, Niteesh K. Choudhry, George Demiris, Deepak Ganesan +15 more

Interpretable deep clustering survival machines for Alzheimer’s disease subtype discovery

Medical Image Analysis(2024)10.1016/j.media.2024.103231

N/A

0DataRank · unranked

8 citations

Zixuan Wen, Jingxuan Bao, R.F Zhang, Boning Tong, Shu Yang +10 more

Interaction models matter: an efficient, flexible computational framework for model-specific investigation of epistasis

BioData Mining(2024)10.1186/s13040-024-00358-0

N/A

0DataRank · unranked

5 citations

Vered Madar, Philip J. Freda, Priyanka Bhandary, Attri Ghosh, Nicholas Matsumoto +4 more

Artificial intelligence and technology collaboratories: Empowering innovation in AI + AgeTech

Journal of the American Geriatrics Society(2024)10.1111/jgs.18804

N/A

0DataRank · unranked

4 citations

Peter Abadir, Alexis Battle, Rama Chellappa, Niteesh K. Choudhry, George Demiris +5 more

A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection

Patterns(2024)10.1016/j.patter.2024.101079

N/A

0DataRank · unranked

2 citations

Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman +6 more

Lexidate: Model Evaluation and Selection with Lexicase

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2024)10.1145/3638530.3654265

N/A

0DataRank · unranked

2 citations

Anil Kumar Saini, Jason H. Moore, Jose Guadalupe Hernandez

Coevolving Artistic Images Using OMNIREP

arXiv (Cornell University)(2024)10.48550/arxiv.2401.11167

N/A

0DataRank · unranked

0 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper

Lexidate: Model Evaluation and Selection with Lexicase

arXiv (Cornell University)(2024)10.48550/arxiv.2406.12006

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Anil Kumar Saini, Jason H. Moore, Jose Guadalupe Hernandez

A review of feature selection strategies utilizing graph data structures and knowledge graphs

arXiv (Cornell University)(2024)10.48550/arxiv.2406.14864

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0 citations

Pedro Henrique Ribeiro, Christina M. Ramirez, Jason H. Moore, Sisi Shao

The tree-based pipeline optimization tool: Tackling biomedical research problems with genetic programming and automated machine learning

Patterns(2025)10.1016/j.patter.2025.101314

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9 citations

Anil Kumar Saini, Attri Ghosh, Jason H. Moore, Jose Guadalupe Hernandez

T H 17 cells converted into exT H 17 cells sustain rheumatoid-like IL-17–independent inflammatory arthritis

Science Immunology(2025)10.1126/sciimmunol.adm7800

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6 citations

Kensuke Suga, Amara Seng, Mattias N. D. Svensson, Paramita Dutta, Sanaz Panahandeh +28 more

Integrative multi‐omics approaches identify molecular pathways and improve Alzheimer's disease risk prediction

Alzheimer s & Dementia(2025)10.1002/alz.70886

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5 citations

Katie M. Cardone, Yuki Bradford, Anni Moore, Rachit Kumar, Jason H. Moore +4 more

A novel computational analysis integrating social determinants information from EHR and literature with Alzheimer’s disease biological knowledge through large language models and knowledge graphs

Innovation in Aging(2025)10.1093/geroni/igaf102

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3 citations

Shu Yang, Tianhua Zhai, Weiqing He, Elizabeth Mamourian, Jiayu Zhang +7 more

Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph

BioData Mining(2025)10.1186/s13040-025-00466-5

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2 citations

Xi Li, Nicholas Matsumoto, Mythreye Venkatesan, Jui-Hsuan Chang, Jay Moran +6 more

Federated feature selection with false discovery rate control

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2025)10.1093/jrsssb/qkaf074

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0DataRank · unranked

1 citations

Jiayi Tong, Yang Ning, Cheng Yong Tang, Jason H. Moore, Runze Li +2 more

Integrative multi-omics approaches identify molecular pathways and improve Alzheimer’s Disease risk prediction

medRxiv(2025)10.1101/2025.05.31.25328688

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0DataRank · unranked

1 citations

Katie M. Cardone, Yuki Bradford, Anni Moore, Rachit Kumar, Jason H. Moore +4 more

Comparing PushGP and GPT-4o on Program Synthesis with only Input-Output Examples

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2025)10.1145/3712255.3726700

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1 citations

Anil Kumar Saini, Gabriel Ketron, Jason H. Moore, Jose Guadalupe Hernandez

Evaluating the Generalizability of Machine Learning Pipelines When Using Lexicase or Tournament Selection

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2025)10.1145/3712255.3726556

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1 citations

Anil Kumar Saini, Ankit Gupta, Jason H. Moore, Jose Guadalupe Hernandez

Enabling Few-Shot Alzheimer's Disease Diagnosis on Biomarker Data with Tabular LLMs

PubMed(2025)10.1145/3765612.3767229

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0DataRank · unranked

1 citations

Shu Yang, Zixuan Wen, Bojian Hou, Duy Duong‐Tran, Tianlong Chen +4 more

A latent transfer learning method for estimating hospital-specific post-acute healthcare demands following SARS-CoV-2 infection

Patterns(2025)10.1016/j.patter.2025.101179

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0DataRank · unranked

0 citations

Nathan M. Pajor, Yiwen Lu, Charles J. Wolock, Jiayi Tong, Vitaly Lorman +6 more

A one-shot, lossless algorithm for cross-cohort learning in mixed-outcomes analysis

Patterns(2025)10.1016/j.patter.2025.101321

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0DataRank · unranked

0 citations

Luke Benz, Rui Duan, Joshua C. Denny, Håkon Håkonarson, Jonathan D. Mosley +7 more

Low-Cost and Detunable Wireless Resonator Glasses for Enhanced Eye MRI with Concurrent High-Quality Whole-Brain MRI.

PubMed(2025)10.1002/mrm.70326

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0 citations

Xiaoyue Yang, Jason H. Moore, Pingping Li, Adam W. Anderson, John C. Gore +3 more

Benchmarking large language models for identifying transcription factor regulatory interactions

Bioinformatics(2025)10.1093/bioinformatics/btaf653

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0 citations

Yi-Wen Hsiao, Yimeng He, Andrew J. Hung, Xiaojiang Cui, Edward Ray +4 more

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Genetic Epidemiology(2020)10.1002/gepi.22220

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Top 100%0 citations

Jing Huang, Ryan J. Urbanowicz, Kun Chen, Elisabetta Manduchi, Casey S. Greene +6 more

Multi-Modal Deep Clustering Survival Machines for Alzheimer's Disease Subtype Discovery

PubMed(2025)10.1109/iccvw69036.2025.00239

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0DataRank · unranked

0 citations

Bojian Hou, Weiqing He, Shu Yang, Jason H. Moore, Andrew J. Saykin +6 more

Translational informatics of population health: How large biomolecular and clinical datasets unite

Biocomputing 2019(2018)10.1142/9789813279827_0043

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0 citations

Atul Janardhan Butte, Haiquan Li, Rong Chen, Jason H. Moore, Yves A. Lussier

Solving Complex Problems in Human Genetics Using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge

IGI Global eBooks(2013)10.4018/978-1-61350-456-7.ch8.4

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0 citations

Jason H. Moore, Casey S. Greene

Solving Complex Problems in Human Genetics Using Nature-Inspired Algorithms Requires Strategies which Exploit Domain-Specific Knowledge

IGI Global eBooks(2012)10.4018/978-1-61350-456-7.ch804

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0 citations

Jason H. Moore, Casey S. Greene

Multiple Plasma Biomarkers for Risk Stratification in Patients With Heart Failure and Preserved Ejection Fraction

Journal of the American College of Cardiology(2020)10.1016/j.jacc.2019.12.069

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216 citations

Alena Orlenko, Lei Zhao, Michael Basso, Mary Ellen Cvijic, Zhuyin Li +14 more

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data

Journal of the American Medical Informatics Association(2020)10.1093/jamia/ocaa044

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76 citations

Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, C Jason Liang, Howard H. Chang +11 more

Recommendations to enhance rigor and reproducibility in biomedical research

GigaScience(2020)10.1093/gigascience/giaa056

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20 citations

Jun Z. Li, Jason H. Moore, Casey S. Greene, Nicole A Nogoy, Lana X Garmire +2 more

Ten simple rules for writing a paper about scientific software

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008390

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8 citations

Jason H. Moore, Joseph D. Romano

H3K27ac acetylome signatures reveal the epigenomic reorganization in remodeled non-failing human hearts

Clinical Epigenetics(2020)10.1186/s13148-020-00895-5

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38 citations

Magdaléna Harakaľová, Thomas A. Treibel, R Thomas Lumbers, Bastiaan J. Boukens, Igor R. Efimov +22 more

Spatial Pyramid Pooling With 3D Convolution Improves Lung Cancer Detection

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2020)10.1109/tcbb.2020.3027744

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37 citations

Keyu Li, Xianghao Chen, Wei Dong, Karl Walker, Jake Qualls +5 more

Unsupervised modeling and genome-wide association identify novel features of allergic march trajectories

Journal of Allergy and Clinical Immunology(2020)10.1016/j.jaci.2020.06.026

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33 citations

Xiao Chang, Jesse Dudley, Frank Mentch, Michael March, John H. Holmes +5 more

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

BMC Bioinformatics(2020)10.1186/s12859-020-03755-4

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28 citations

Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore, Elisabetta Manduchi

treeheatr : an R package for interpretable decision tree visualizations

Bioinformatics(2020)10.1093/bioinformatics/btaa662

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26 citations

Jason H. Moore, Trang T. Le

New Pathways in Coevolutionary Computation

Genetic and evolutionary computation(2020)10.1007/978-3-030-39958-0_15

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2 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper

Evaluating recommender systems for AI-driven biomedical informatics

Bioinformatics(2020)10.1093/bioinformatics/btaa698

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0DataRank · unranked

1 citations

Heather Williams, Weixuan Fu, Steve Vitale, Durga Srivatsan, Jason H. Moore +1 more

International Comparisons of Harmonized Laboratory Value Trajectories to Predict Severe COVID-19: Leveraging the 4CE Collaborative Across 342 Hospitals and 6 Countries: A Retrospective Cohort Study

medRxiv(2020)10.1101/2020.12.16.20247684

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19 citations

Chuan Hong, Nathan Palmer, Paul Avillach, Shawn N. Murphy, Alba Gutiérrez‐Sacristán +80 more

Learning from local to global - an efficient distributed algorithm for modeling time-to-event data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.04.977298

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4 citations

Chongliang Luo, Martijn J. Schuemie, Jiayi Tong, Jason Liang, Howard H. Chang +11 more

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.08.24.265116

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0DataRank · unranked

1 citations

Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore, Elisabetta Manduchi

Application of concise machine learning to construct accurate and interpretable EHR computable phenotypes

medRxiv(2020)10.1101/2020.12.12.20248005

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0DataRank · unranked

1 citations

Paul C. Lee, Imran Thariq Ajmal, Xiruo Ding, Priyanka Solanki, Jordana B. Cohen +3 more

Improving the Interpretability of Random Forest Models of Genetic Association in the Presence of Non-Additive Interactions

(2020)10.21203/rs.3.rs-29752/v1

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1 citations

Jason H. Moore, Alena Orlenko

Detection of complex genetic architecture using two-locus population differentiation: modeling epistasis

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.01.182840

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0 citations

Britney E. Graham, Ge Zhang, Jacquelaine Bartlett, Jason H. Moore, Louis J. Muglia +2 more

Large scale biomedical data analysis with tree-based automated machine learning

(2020)10.1145/3377929.3397770

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0 citations

Weixuan Fu, Jason H. Moore, Trang T. Le

Neonatal Safety Information Reported to the FDA During Drug Development Studies

UNC Libraries(2020)10.17615/pvqx-bt04

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0 citations

Jian Wang, Ron Ariagno, Jason H. Moore, Debbie Avant, Gilbert J. Burckart +4 more

Why Is the Electronic Health Record So Challenging for Research and Clinical Care?

Methods of Information in Medicine(2021)10.1055/s-0041-1731784

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116 citations

James Beinlich, Mary Regina Boland, Kathryn H. Bowles, Yong Chen, Tessa S. Cook +20 more

Conservation machine learning: a case study of random forests

Scientific Reports(2021)10.1038/s41598-021-83247-4

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84 citations

Jason H. Moore, Moshe Sipper

A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions

BioData Mining(2021)10.1186/s13040-021-00243-0

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58 citations

Jason H. Moore, Alena Orlenko

TPOT-NN: augmenting tree-based automated machine learning with neural network estimators

Genetic Programming and Evolvable Machines(2021)10.1007/s10710-021-09401-z

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32 citations

Trang T. Le, Weixuan Fu, Jason H. Moore, Joseph D. Romano

AddGBoost: A gradient boosting-style algorithm based on strong learners

Machine Learning with Applications(2021)10.1016/j.mlwa.2021.100243

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30 citations

Jason H. Moore, Moshe Sipper

Multi-task learning based structured sparse canonical correlation analysis for brain imaging genetics

Medical Image Analysis(2021)10.1016/j.media.2021.102297

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29 citations

Eun Jeong Min, Kefei Liu, Jingwen Yan, Andrew J. Saykin, Jason H. Moore +3 more

The promise of automated machine learning for the genetic analysis of complex traits

Human Genetics(2021)10.1007/s00439-021-02393-x

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25 citations

Joseph D. Romano, Jason H. Moore, Elisabetta Manduchi

Genetic Analysis of Coronary Artery Disease Using Tree-Based Automated Machine Learning Informed By Biology-Based Feature Selection

IEEE/ACM Transactions on Computational Biology and Bioinformatics(2021)10.1109/tcbb.2021.3099068

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24 citations

Trang T. Le, Weixuan Fu, Jason H. Moore, Elisabetta Manduchi

Multinational characterization of neurological phenotypes in patients hospitalized with COVID-19

Scientific Reports(2021)10.1038/s41598-021-99481-9

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19 citations

Alba Gutiérrez‐Sacristán, Jiyeon Son, Chuan Hong, Andrew M. South, Brett K. Beaulieu-Jones +95 more

Estimating prevalence of human traits among populations from polygenic risk scores

Human Genomics(2021)10.1186/s40246-021-00370-z

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8 citations

Brian Plotkin, Louis J. Muglia, Jason H. Moore, SCOTT M. WILLIAMS, Britney E. Graham

Symbolic-regression boosting

Genetic Programming and Evolvable Machines(2021)10.1007/s10710-021-09400-0

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11 citations

Jason H. Moore, Moshe Sipper

Lossless integration of multiple electronic health records for identifying pleiotropy using summary statistics

Nature Communications(2021)10.1038/s41467-020-20211-2

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8 citations

Rui Duan, Xinyuan Zhang, Thomas Lumley, Sarah A. Pendergrass, Christopher R. Bauer +14 more

Novel EDGE encoding method enhances ability to identify genetic interactions

PLoS Genetics(2021)10.1371/journal.pgen.1009534

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8 citations

John R. Wallace, Anastasia Lucas, Yuki Bradford, Shefali S. Verma, Bertram Müller‐Myhsok +16 more

Leveraging Automated Machine Learning for the Analysis of Global Public Health Data: A Case Study in Malaria

International Journal of Public Health(2021)10.3389/ijph.2021.614296

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3 citations

Jason H. Moore, Elisabetta Manduchi

A semantic genetic programming framework based on dynamic targets

Genetic Programming and Evolvable Machines(2021)10.1007/s10710-021-09419-3

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5 citations

Valerio Terragni, Jason H. Moore, Stefano Ruberto

REGENS: an open source Python package for simulating realistic autosomal genotypes

The Journal of Open Source Software(2021)10.21105/joss.02743

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1 citations

Trang T. Le, Jason H. Moore, John Gregg

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.23.436652

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1 citations

Trang T. Le, Weixuan Fu, Jason H. Moore, Elisabetta Manduchi

Rapid prototyping of evolution-driven biclustering methods in Julia

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2021)10.1145/3449726.3462739

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0 citations

Patryk Orzechowski, Aleksander Byrski, Jarosław Wąs, Jason H. Moore, Paweł Renc

LoFTK: a framework for fully automated calculation of predicted Loss-of-Function variants

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.09.455694

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0 citations

Konrad J. Karczewski, Brian Cole, Bao‐Li Loza, Jason H. Moore, Sander W. van der Laan +4 more

A comparison of methods for interpreting random forest models of genetic association in the presence of non-additive interactions.

Research Square(2021)10.21203/rs.3.rs-45186/v3

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0 citations

Jason H. Moore, Alena Orlenko

Genetic heterogeneity: Challenges, impacts, and methods through an associative lens

Genetic Epidemiology(2022)10.1002/gepi.22497

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60 citations

Ryan J. Urbanowicz, Adam C. Naj, Jason H. Moore, Alexa Woodward

Benchmarking AutoML frameworks for disease prediction using medical claims

BioData Mining(2022)10.1186/s13040-022-00300-2

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39 citations

Mariefel Nicole Y. Deypalan, Suchit Mehrotra, John Titus Jungao, Natalie E. Sheils, Elisabetta Manduchi +2 more

Knowledge-guided deep learning models of drug toxicity improve interpretation

Patterns(2022)10.1016/j.patter.2022.100565

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39 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

SurvMaximin: Robust federated approach to transporting survival risk prediction models

Journal of Biomedical Informatics(2022)10.1016/j.jbi.2022.104176

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31 citations

Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat +53 more

Automating Predictive Toxicology Using ComptoxAI

Chemical Research in Toxicology(2022)10.1021/acs.chemrestox.2c00074

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20 citations

Yun Hao, Jason H. Moore, T.M. Penning, Joseph D. Romano

Multisite learning of high-dimensional heterogeneous data with applications to opioid use disorder study of 15,000 patients across 5 clinical sites

Scientific Reports(2022)10.1038/s41598-022-14029-9

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8 citations

Rui Duan, Chongliang Luo, Alexis Ogdie, Jason H. Moore, Henry R. Kranzler +3 more

Antihypertensive effects of yoga in a general patient population: real-world evidence from electronic health records, a retrospective case-control study

BMC Public Health(2022)10.1186/s12889-022-12569-3

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8 citations

Jason H. Moore, Nadia M. Penrod

Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer’s disease

BMC Medical Genomics(2022)10.1186/s12920-022-01323-8

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5 citations

Ruiming Wu, Xiaohui Yao, Andrew J. Saykin, Jason H. Moore, Li Shen +2 more

Gene-Interaction-Sensitive enrichment analysis in congenital heart disease

BioData Mining(2022)10.1186/s13040-022-00287-w

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4 citations

Deanne Taylor, Elizabeth Goldmuntz, Laura E. Mitchell, A. J. Agopian, Jason H. Moore +2 more

Novel digital approaches to the assessment of problematic opioid use

BioData Mining(2022)10.1186/s13040-022-00301-1

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2 citations

Henry R. Kranzler, Jason H. Moore, Philip J. Freda

SurvMaximin: Robust Federated Approach to Transporting Survival Risk Prediction Models

medRxiv(2022)10.1101/2022.02.03.22270410

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3 citations

Harrison G. Zhang, Xin Xiong, Chuan Hong, Griffin M. Weber, Gabriel A. Brat +53 more

A comparative study of GP-based and state-of-the-art classifiers on a synthetic machine learning benchmark

Proceedings of the Genetic and Evolutionary Computation Conference Companion(2022)10.1145/3520304.3529056

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3 citations

Paweł Renc, William La Cava, Jason H. Moore, Arkadiusz Sitek, Jarosław Wąs +2 more

Knowledge-guided deep learning models of drug toxicity improve interpretation

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.28.482300

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2 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

Preference Matrix Guided Sparse Canonical Correlation Analysis for Genetic Study of Quantitative Traits in Alzheimer’s Disease

2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)(2022)10.1109/bibm55620.2022.9995342

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0 citations

Jingxuan Bao, Kefei Liu, Shu Yang, Zixuan Wen, Yuhan Cui +7 more

Solution and Fitness Evolution (SAFE): A Study of Multiobjective Problems

arXiv (Cornell University)(2022)10.48550/arxiv.2206.13509

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0 citations

Jason H. Moore, Ryan J. Urbanowicz, Moshe Sipper

KNOWLEDGE GRAPH AIDS COMPREHENSIVE EXPLANATION OF DRUG TOXICITY

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.07.511348

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0 citations

Joseph D. Romano, Jason H. Moore, Yun Hao

Jason H. Moore

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