Pilot corpus: NIH-funded biomedical datasets. Any DOI can be scored on demand — network effects sharpen as coverage grows.

Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS

STAR Protocols(2025)10.1016/j.xpro.2025.103780Source: DataRank Database

Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS is a research paper published in STAR Protocols (2025). On theSindex it has a DataRank of 0. It has been cited 2 times.

N/A

0DataRank · unranked

Scored on demand from live citation data

Open Access2 citations

Download PDF

Cite:

Linked data & code

doi

DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?

›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (10 grants)Impact (FWCI 1.80)OA: goldTopics (33)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)

FAIR checklist signals are shown for context only and do not affect DataRank scoring.

Run a calibrated FAIR evaluation for this paper →

We only score data papers we can read in full — never from an abstract alone.

Authors (3)

Andy Dahl,Noah Zaitlen ORCID,Michał Sadowski ORCID

Live enrichment

PubMed:40249708 PMC:PMC12224878 OpenAlex:https://openalex.org/W4409488163

National Institutes of Health

Grant: 1R01HG011345

National Institutes of Health

Grant: R01MH125252

National Institutes of Health

Grant: U01HG012079

National Institutes of Health

Grant: R01ES029929

National Institutes of Health

Grant: R35GM150822

National Institutes of Health

Grant: 2R01HG006399

National Institutes of Health

Grant: K25HL157603

National Institutes of Health

Grant: R01MH122688

The Chan Zuckerberg Initiative

Grant: CZF2019-002449

NHGRI NIH HHS

Grant: R01 HG006399

FWCI

1.80

Citation Percentile

0.8%

Citation Trend

2025

2026

goldLicense: cc-by-nc-nd

journalhttps://doi.org/10.1016/j.xpro.2025.103780

publisherhttps://doi.org/10.1016/j.xpro.2025.103780

publisherhttps://api.elsevier.com/content/article/PII:S2666166725001868?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S2666166725001868?httpAccept=text/plain

repositoryhttps://pubmed.ncbi.nlm.nih.gov/40249708

Fields of Study

Genetic Associations and EpidemiologyLiver Disease Diagnosis and TreatmentGene expression and cancer classificationHumansGene-Environment InteractionGenome-Wide Association StudyTranscriptomeModels, Genetic

MeSH Terms

HumansModels, GeneticGenome-Wide Association StudyTranscriptomeGene-Environment Interaction

Keywords

HeritabilityDrugDrug responseProtocol (science)Missing heritability problemPsychologyGeneComputational biologyPharmacologyGeneticsBiologyMedicineSingle-nucleotide polymorphismGenotypeAlternative medicineBioinformaticsGenomicsGene ExpressionHealth SciencesEnvironmental Sciences

Protocol to estimate the heritability of drug response with GxEMM and identify gene-drug interactions with TxEWAS

FAIR Checklist

Authors (3)

Funding (10 grants)

Impact

Open Access

Topics

Annotations (Europe PMC)