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HECLIP: histology-enhanced contrastive learning for imputation of transcriptomics profiles

Bioinformatics(2025)10.1093/bioinformatics/btaf363Source: DataRank Database

HECLIP: histology-enhanced contrastive learning for imputation of transcriptomics profiles is a research paper published in Bioinformatics (2025). On theSindex it has a DataRank of 0. It has been cited 10 times.

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Open Access10 citations

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Enrichment:Funding (5 grants)OA: goldTopics (9)IDs (PubMed, PMC)Annotations (1)

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Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (5)

Wen-jie Chen ORCID,Jing Su ORCID,Guangyu Wang ORCID,Qianqian Song ORCID,Qing Wang ORCID

Live enrichment

PubMed:40569046 PMC:PMC12362354

National Library of Medicine of the National Institutes of Health

Grant: R01LM013771

National Institute on Alcohol Abuse and Alcoholism

Grant: R21AA031370

National Institute on Alcohol Abuse and Alcoholism

Grant: U24AA026969

National Institute of Health Office of the Director

Grant: OT2OD031919

NIGMS NIH HHS

Grant: R35 GM150460

goldLicense: cc-by

publisherhttps://academic.oup.com/bioinformatics/advance-article-pdf/doi/10.1093/bioinformatics/btaf363/63590207/btaf363.pdf

publisherhttps://academic.oup.com/bioinformatics/article-pdf/41/7/btaf363/63590207/btaf363.pdf

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/12362354

repositoryhttps://hdl.handle.net/1805/50672

Europe_PMChttps://europepmc.org/articles/PMC12362354

MeSH Terms

AnimalsHumansMiceGene Expression ProfilingComputational BiologyImage Processing, Computer-AssistedSoftwareTranscriptomeDeep Learning

HECLIP: histology-enhanced contrastive learning for imputation of transcriptomics profiles

FAIR Checklist

Authors (5)

Funding (5 grants)

Open Access

Topics

Annotations (Europe PMC)