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Predicting DNA methylation from genetic data lacking racial diversity using shared classified random effects

Genomics(2020)10.1016/j.ygeno.2020.10.036Source: DataRank Database

Predicting DNA methylation from genetic data lacking racial diversity using shared classified random effects is a research paper published in Genomics (2020). On theSindex it has a DataRank of 0. It has been cited 5 times.

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5 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 0.07)OA: closedTopics (30)IDs (PubMed, OpenAlex)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Hang Zhang ORCID,Erin Kobetz,Melinda C. Aldrich ORCID,Douglas Conway,J. Sunil Rao ORCID

Live enrichment

PubMed:33161089 OpenAlex:https://openalex.org/W3097539760

NIMHD NIH HHS

Grant: U54 MD010722

NCATS NIH HHS

Grant: UL1 TR000460

National Institutes of Health

FWCI

0.07

Citation Percentile

0.4%

Citation Trend

2023

2024

2025

closedLicense: http://www.elsevier.com/open-access/userlicense/1.0/

publisherhttps://api.elsevier.com/content/article/PII:S0888754320319959?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S0888754320319959?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.ygeno.2020.10.036

repositoryhttps://pubmed.ncbi.nlm.nih.gov/33161089

Fields of Study

Epigenetics and DNA MethylationGenetic Associations and EpidemiologyCancer Genomics and Diagnostics

MeSH Terms

Uterine Cervical NeoplasmsData Interpretation, StatisticalFemaleHumansDNA MethylationBlack PeopleWhite People

Keywords

BiologyDNA methylationEstimatorComputational biologyRandom forestRandom effects modelEpigeneticsRegressionGeneticsComputer scienceGeneStatisticsMachine learningGene expressionMathematicsMeta-analysisInternal medicinePredictionMixed Effects ModelsRacial Diversity

Predicting DNA methylation from genetic data lacking racial diversity using shared classified random effects

FAIR Checklist

Authors (5)

Funding (3 grants)

Impact

Open Access

Topics