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Learning gene networks underlying clinical phenotypes using SNP perturbation

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007940Source: DataRank Database

Learning gene networks underlying clinical phenotypes using SNP perturbation is a research paper published in PLoS Computational Biology (2020). On theSindex it has a DataRank of 0. It has been cited 7 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access7 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (3 grants)Impact (FWCI 0.41)OA: goldTopics (46)IDs (PubMed, PMC, OpenAlex)Annotations (2)

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 (3)

Judie A. Howrylak ORCID,Se-Young Kim ORCID,Calvin McCarter ORCID

Live enrichment

PubMed:33095769 PMC:PMC7584257 OpenAlex:https://openalex.org/W3093779086

NSF

Grant: MCB-1149885

NHGRI NIH HHS

Grant: R21 HG010948

NHGRI NIH HHS

Grant: R21 HG011116

FWCI

0.41

Citation Percentile

0.6%

Citation Trend

2019

2021

2023

2024

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1007940

publisherhttps://doi.org/10.1371/journal.pcbi.1007940

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1007940

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33095769

repositoryhttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007940

Fields of Study

Bioinformatics and Genomic NetworksGenetic Associations and EpidemiologyGene expression and cancer classificationAlgorithmsGene Regulatory NetworksGenome, HumanGenome-Wide Association StudyGenomicsHumansMachine LearningModels, GeneticPhenotypePolymorphism, Single NucleotideQuantitative Trait Loci

MeSH Terms

Machine LearningAlgorithmsHumansModels, GeneticPhenotypeGenome, HumanPolymorphism, Single NucleotideGenomicsQuantitative Trait LociGene Regulatory NetworksGenome-Wide Association Study

Keywords

Single-nucleotide polymorphismComputational biologyBiologyGenome-wide association studyPhenotypeInferenceGenetic architectureSNPGene regulatory networkGeneticsQuantitative trait locusExpression quantitative trait lociGeneBiological networkSystems biologyGenetic associationENCODEComputer scienceGene expressionArtificial intelligenceGenotype

Learning gene networks underlying clinical phenotypes using SNP perturbation

FAIR Checklist

Authors (3)

Funding (3 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)