Peter Carbonetto

Biochemistry, Genetics and Molecular Biology

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 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 22 papers. Top paper: “A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping”.

A Simple New Approach to Variable Selection in Regression, with Application to Genetic Fine Mapping

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2020)10.1111/rssb.12388

N/A

1.1DataRank · unranked

1181 citations

Abhishek Sarkar, Peter Carbonetto, Matthew Stephens, Gao Wang

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

Genome biology(2023)10.1186/s13059-023-03067-9

N/A

0.477DataRank · unranked

23 citations

Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott +2 more

Mammary intraepithelial lymphocytes and intestinal inputs shape T cell dynamics in lactogenesis

Nature Immunology(2025)10.1038/s41590-025-02218-3

N/A

0.432DataRank · unranked

11 citations

Eleni Phung, Xutong Gong, Pilar Baldominos, Silvia Galván-Peña, Ian Magill +93 more

Genetic contributions to epigenetic-defined endotypes of allergic phenotypes in children

medRxiv(2024)10.1101/2024.10.03.24314618

N/A

0.104DataRank · unranked

1 citations

Xiaoyuan Zhong, Peter Carbonetto, Andréanne Morin, Jason Willwerscheid, Cynthia M. Visness +21 more

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.22.517471

N/A

0.104DataRank · unranked

1 citations

Peter Carbonetto, Gao Wang, Yuxin Zou, Abhishek Sarkar, Matthew Stephens +1 more

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.04.14.536893

N/A

0DataRank · unranked

34 citations

Peter Carbonetto, Dongyue Xie, Gao Wang, Matthew Stephens, Yuxin Zou

GoM DE: interpreting structure in sequence count data with differential expression analysis allowing for grades of membership

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.03.03.531029

N/A

0DataRank · unranked

5 citations

Kaixuan Luo, Abhishek Sarkar, Anthony Hung, Karl Tayeb, Sebastian Pott +2 more

Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.15.553436

N/A

0DataRank · unranked

5 citations

Peter Carbonetto, Jason Willwerscheid, Scott A. Oakes, Kay F. Macleod, Matthew Stephens +1 more

A pairwise cytokine code explains the organism-wide response to sepsis

Nature Immunology(2024)10.1038/s41590-023-01722-8

N/A

0DataRank · unranked

79 citations

Ashwini Patil, Gabriella Richey, Denis Cipurko, Katherine Johnson, Peter Carbonetto +9 more

Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca

Bioinformatics(2024)10.1093/bioinformatics/btae494

N/A

0DataRank · unranked

3 citations

Peter Carbonetto, Matthew Stephens, Eric Weine

Accelerated dimensionality reduction of single-cell RNA sequencing data with fastglmpca

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.23.586420

N/A

0DataRank · unranked

2 citations

Peter Carbonetto, Matthew Stephens, Eric Weine

Improved methods for empirical Bayes multivariate multiple testing and effect size estimation

arXiv (Cornell University)(2024)10.48550/arxiv.2406.08784

N/A

0DataRank · unranked

1 citations

Peter Carbonetto, David Gerard, Matthew Stephens, Yunqi Yang

Gradient-based optimization for variational empirical Bayes multiple regression

arXiv (Cornell University)(2024)10.48550/arxiv.2411.14570

N/A

0DataRank · unranked

0 citations

Peter Carbonetto, Matthew Stephens, Saikat Banerjee

Dissecting tumor transcriptional heterogeneity from single-cell RNA-seq data by generalized binary covariance decomposition

Nature Genetics(2025)10.1038/s41588-024-01997-z

N/A

0DataRank · unranked

12 citations

Peter Carbonetto, Jason Willwerscheid, Scott A. Oakes, Kay F. Macleod, Matthew Stephens +1 more

Genetic contributions to epigenetic-defined endotypes of allergic phenotypes in children

The American Journal of Human Genetics(2025)10.1016/j.ajhg.2025.05.006

N/A

0DataRank · unranked

2 citations

Xiaoyuan Zhong, Peter Carbonetto, Andréanne Morin, Jason Willwerscheid, Cynthia M. Visness +21 more

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families

Journal of Statistical Software(2025)10.18637/jss.v114.i03

N/A

0DataRank · unranked

1 citations

Peter Carbonetto, Matthew Stephens, Jason Willwerscheid

SuSiE 2.0: improved methods and implementations for genetic fine-mapping and phenotype prediction

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.25.690514

N/A

0DataRank · unranked

4 citations

Yanghyeon Cho, Ruixi Li, Daniel Nachun, Hao Gan, Peter Carbonetto +4 more

Genomic specificity of anti-mouse TCR mAbs determined by single-cell RNAseq

The Journal of Immunology(2025)10.1093/jimmun/vkaf094

N/A

0DataRank · unranked

0 citations

Val Piekarsa, Sofia Kossida, Joshua Croteau, Amy Huei‐Yi Lee, Robert Balderas +85 more

Fine-mapping from summary data with the “Sum of Single Effects” model

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.03.467167

N/A

0DataRank · unranked

24 citations

Peter Carbonetto, Gao Wang, Matthew Stephens, Yuxin Zou

Fine-mapping from summary data with the “Sum of Single Effects” model

PLoS Genetics(2022)10.1371/journal.pgen.1010299

N/A

0DataRank · unranked

420 citations

Peter Carbonetto, Gao Wang, Matthew Stephens, Yuxin Zou

Fine-mapping studies distinguish genetic risks for childhood- and adult-onset asthma in the HLA region

Genome Medicine(2022)10.1186/s13073-022-01058-2

N/A

0DataRank · unranked

17 citations

Nathan Schoettler, Andrew M. Goldstein, Peter Carbonetto, Matthew Dapas, Matthew C. Altman +8 more

A flexible empirical Bayes approach to multivariate multiple regression, and its improved accuracy in predicting multi-tissue gene expression from genotypes

PLoS Genetics(2023)10.1371/journal.pgen.1010539

N/A

0DataRank · unranked

8 citations

Peter Carbonetto, Gao Wang, Yuxin Zou, Abhishek Sarkar, Matthew Stephens +1 more