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

Discovering Root Causal Genes with High Throughput Perturbations

eLife(2025)10.7554/elife.100949.2Source: DataRank Database

Discovering Root Causal Genes with High Throughput Perturbations is a research paper published in eLife (2025). On theSindex it has a DataRank of 0.

N/A

0DataRank · unranked

Scored on demand from live citation data

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 (2 grants)OA: goldTopics (11)IDs (PubMed, OpenAlex)

Context only (not used in score)

Findable (1/2)

Accessible (1/2)

Interoperable (0/2)

Reusable (0/3)

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

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

Live enrichment

National Human Genome Research Institute

Grant: R01HG011138

National Human Genome Research Institute

Grant: R35HG010718

goldLicense: cc-by

Fields of Study

Gene Regulatory Network AnalysisMicrobial Metabolic Engineering and BioproductionBioinformatics and Genomic Networks

Keywords

Root (linguistics)ThroughputGeneBiologyComputational biologyComputer scienceGeneticsPhilosophy