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CellMiner cross-database (CellMinerCDB) version 2.2 for explorations of patient-derived cancer cell line pharmacogenomics

Nucleic Acids Research(2025)10.1093/nar/gkaf1230Source: DataRank Database

CellMiner cross-database (CellMinerCDB) version 2.2 for explorations of patient-derived cancer cell line pharmacogenomics is a dataset published in Nucleic Acids Research (2025). On theSindex it has a DataRank of 0, placing it in the top 100% of the data-sharing corpus.

Top 100%percentile

0DataRank

Ranks in the top 100% for downstream scientific impact

Data paper Open Access0 citations

Cite:

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 (3 grants)Impact (FWCI 0.00)OA: goldTopics (21)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 (1/3)

Dataset classification

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Authors (10)

William C. Reinhold ORCID,Sudhir Varma ORCID,Yanghsin Wang ORCID,Meric Kinali ORCID,Yasuhiro Arakawa ORCID

Live enrichment

PubMed:41312628 PMC:PMC12807703 OpenAlex:https://openalex.org/W4416794280

NIH

Grant: Z01-BC 006150

NIH

Grant: ZIALM240126

Intramural NIH HHS

Grant: Z01 BC006150

FWCI

0.00

Citation Percentile

0.2%

goldLicense: public-domain

journalhttps://doi.org/10.1093/nar/gkaf1230

publisherhttps://doi.org/10.1093/nar/gkaf1230

publisherhttps://academic.oup.com/nar/article-pdf/54/D1/D1345/65596308/gkaf1230.pdf

repositoryhttps://pubmed.ncbi.nlm.nih.gov/41312628

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12807703/

Fields of Study

Cell Image Analysis TechniquesSingle-cell and spatial transcriptomicsComputational Drug Discovery Methods

MeSH Terms

Antineoplastic AgentsHumansNeoplasmsPharmacogeneticsSoftwareUser-Computer InterfaceInternetDatabases, GeneticCell Line, TumorDrug Repositioning

Keywords

PharmacogenomicsCancer cell linesCancerDrug repositioningDrug responseDrug discoveryGenomicsRepurposing