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Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph

STAR Protocols(2023)10.1016/j.xpro.2023.102666Source: DataRank Database

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph is a research paper published in STAR Protocols (2023). On theSindex it has a DataRank of 0. It has been cited 1 time.

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Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (16 grants)Impact (FWCI 0.09)OA: goldTopics (31)IDs (PubMed, PMC, OpenAlex)Annotations (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Yu Hou ORCID,Michael Levin ORCID,Rui Zhang ORCID,Fei Wang ORCID,Chang Su ORCID

Live enrichment

PubMed:37883224 PMC:PMC10630678 OpenAlex:https://openalex.org/W4387936397

National Institutes of Health

Grant: R01AG080624

NIA NIH HHS

Grant: RF1 AG072449

National Institutes of Health

Grant: R01AG078154

National Institutes of Health

Grant: R01AT009457

National Institutes of Health

Grant: R01AG076234

NIA NIH HHS

Grant: R01 AG080991

NIA NIH HHS

Grant: R01 AG076448

National Science Foundation

Grant: 1750326

CAREER: Interpretable Deep Modeling of Discrete Time Event Sequences

National Science Foundation

Grant: 2212175

Collaborative Research: III: Medium: A consolidated framework of computational privacy and machine learning

National Institutes of Health

Grant: 5R01AG076234-03

Computational Drug Repurposing for AD/ADRD with Integrative Analysis of Real World Data and Biomedical Knowledge

National Institutes of Health

Grant: 5R01AT009457-07

A Translational Informatics Framework to Mine Efficacy and Safety of Dietary Supplements

National Institutes of Health

Grant: 3RF1AG072449-01S1

Identification of Mild Cognitive Impairment using Machine Learning from Language and Behavior Markers

National Institutes of Health

Grant: 5R01AG076448-03

TREM2 Genotype-Informed Drug Repurposing and Combination Therapy Design for Alzheimers Disease

National Institutes of Health

Grant: 1R01AG080991-01

Eligibility criteria design for Alzheimer's trials with real-world data and explainable AI

National Institutes of Health

Grant: 5R01AG080624-03

Disparities of Alzheimer's disease progression in sexual and gender minorities

National Institutes of Health

Grant: 5R01AG078154-02

Detecting synergistic effects of pharmacological and non-pharmacological interventions for AD/ADRD

FWCI

0.09

Citation Percentile

0.4%

Citation Trend

2025

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xpro.2023.102666

publisherhttps://doi.org/10.1016/j.xpro.2023.102666

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37883224

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/10630678

repositoryhttps://doaj.org/article/046f674ef77346e0ba4de5073db5c0fd

Fields of Study

Biomedical Text Mining and OntologiesBioinformatics and Genomic NetworksGenomics and Rare Diseases0206 medical engineering02 engineering and technology

MeSH Terms

Artificial IntelligenceHumansParkinson DiseasePattern Recognition, AutomatedDrug Repositioning

Keywords

Pipeline (software)Computer scienceProtocol (science)RepurposingKnowledge extractionGraphKnowledge representation and reasoningArtificial intelligenceData scienceTheoretical computer scienceEngineeringBioinformaticsHealth SciencesComputer SciencesQ1-390Science (General)ProtocolDrug RepositioningHumansParkinson DiseasePattern Recognition, Automated

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph

FAIR Checklist

Authors (5)

Funding (16 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)