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Identifying non-coding variant effects at scale via machine learning models of cis-regulatory reporter assays

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.16.648420Source: DataRank Database

Identifying non-coding variant effects at scale via machine learning models of cis-regulatory reporter assays is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2025). On theSindex it has a DataRank of 0. It has been cited 1 time.

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0DataRank · unranked

Scored on demand from live citation data

Open Access1 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (5 grants)IDs (PubMed)

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Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (10)

Stephen Rong ORCID,Sager J. Gosai ORCID,Rodrigo Castro ORCID,Mackenzie Noon ORCID,Kehinde Adeniran ORCID

Live enrichment

PubMed:19965766

Grant: UM1HG009435

Grant: R00HG008179

Grant: R00HG010669

Grant: R01HG012872

Grant: R35HG011329