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Random-effects meta-analysis of effect sizes as a unified framework for gene set analysis

PLoS Computational Biology(2022)10.1371/journal.pcbi.1010278Source: DataRank Database

Random-effects meta-analysis of effect sizes as a unified framework for gene set analysis is a research paper published in PLoS Computational Biology (2022). On theSindex it has a DataRank of 0. It has been cited 2 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (6 grants)Impact (FWCI 0.15)OA: goldTopics (29)IDs (PubMed, PMC, OpenAlex)

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 (4)

Dónal O’Shea ORCID,Paul Geeleher ORCID,Cathal Seoighe ORCID,Mohammad A. Makrooni

Live enrichment

PubMed:36197939 PMC:PMC9576052 OpenAlex:https://openalex.org/W4302275509

Science Foundation Ireland

Grant: 18/CRT/6214

Science Foundation Ireland

Grant: 16/IA/4612

National Human Genome Research Institute

Grant: 5R00HG009679-03

National Institute of General Medical Sciences

Grant: 1R35GM138293-01

NHGRI NIH HHS

Grant: R00 HG009679

NIGMS NIH HHS

Grant: R35 GM138293

FWCI

0.15

Citation Percentile

0.4%

Citation Trend

2023

2025

goldLicense: cc-by

journalhttps://doi.org/10.1371/journal.pcbi.1010278

publisherhttps://doi.org/10.1371/journal.pcbi.1010278

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1010278

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36197939

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/9576052

Fields of Study

Bioinformatics and Genomic NetworksGenetic Mapping and Diversity in Plants and AnimalsGene expression and cancer classificationComputer SimulationGenomeResearch DesignSample Size

MeSH Terms

Computer SimulationResearch DesignGenomeSample Size

Keywords

InterpretabilityRobustness (evolution)Sample size determinationStatistical hypothesis testingComputer scienceRandom effects modelStatisticsSet (abstract data type)Statistical analysisMeta-analysisFalse discovery rateComputational biologyData miningMathematicsGeneBiologyGeneticsArtificial intelligence