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Multivariable association discovery in population-scale meta-omics studies

PLoS Computational Biology(2021)10.1371/journal.pcbi.1009442Source: DataRank Database

Multivariable association discovery in population-scale meta-omics studies is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 1.2. It has been cited 2,502 times.

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1.2DataRank · unranked

Scored on demand from live citation data

Open Access2,502 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (13 grants)OA: goldTopics (18)IDs (PubMed, PMC)SDGs (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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

1.2

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (20)

Ali Rahnavard ORCID,Lauren J. McIver ORCID,Siyuan Ma ORCID,Yancong Zhang ORCID,Long H. Nguyen ORCID

Live enrichment

PubMed:34784344 PMC:PMC8714082

US National Science Foundation, Division of Environmental Biology

Grant: DEB 2028280

national institute of allergy and infectious diseases

Grant: U19AI110820

national human genome research institute

Grant: R01HG005220

national institute of diabetes and digestive and kidney diseases

Grant: R24DK110499

national institute of diabetes and digestive and kidney diseases

Grant: U54DK102557

Crohn's & Colitis Foundation

Grant: 563526

NIDDK NIH HHS

Grant: P30 DK043351

Crohn's & Colitis Foundation

Grant: 690389

National Institutes of Health

Grant: 5R24DK110499-05

A comprehensive platform for novel therapy development from the microbiome

National Institutes of Health

Grant: 5R01HG005220-08

Overcoming bias and unwanted variability in next generation sequencing

National Institutes of Health

Grant: 5U19AI110820-07

A Genomics Based Investigation of the Determinants of Polymicrobial Infectious Disease Outcomes

National Institutes of Health

Grant: 8U54DK102557-02

Characterizing the gut microbial ecosystem for diagnosis and therapy in IBD

National Science Foundation

Grant: 2028280

RAPID: A novel platform for data integration and deep learning on COVID-19

goldLicense: cc-by

publisherhttps://doi.org/10.1371/journal.pcbi.1009442

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1009442

repositoryhttps://doaj.org/article/d5bfd901e9b34b5b917ec5de230898ee

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8714082

Europe_PMChttps://europepmc.org/articles/PMC8714082

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

MeSH Terms

HumansInflammatory Bowel DiseasesMultivariate AnalysisComputational BiologyComputer SimulationGastrointestinal Microbiome

Keywords

QH301-705.5Multivariate AnalysisComputational BiologyHumansComputer SimulationBiology (General)Inflammatory Bowel DiseasesResearch ArticleGastrointestinal Microbiome

Sustainable Development Goals

SDG 3: 3. Good health