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EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites

Briefings in Bioinformatics(2026)10.1093/bib/bbaf721Source: DataRank Database

EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites is a research paper published in Briefings in Bioinformatics (2026). On theSindex it has a DataRank of 0.

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Enrichment:Funding (2 grants)OA: goldTopics (3)IDs (PubMed)

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Authors (10)

Xinhua Liu,Jun Wu ORCID,Sang Lin,Shengxuan Zhan,Hua Li ORCID

Live enrichment

PubMed:41527854

Jiangsu Province Engineering Research Center of Development and Translation of Key Technologies for Chronic Disease Prevention and Control

Grant: CDSGK1202503

Fourteenth Five-Year National Key Research and Development Program of China

Grant: 2023YFC2307203

goldLicense: cc-by-nc

publisherhttps://doi.org/10.1093/bib/bbaf721

publisherhttps://academic.oup.com/bib/article-pdf/27/1/bbaf721/66386096/bbaf721.pdf

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC12796812/pdf/bbaf721.pdf

Fields of Study

MedicineComputer ScienceBiology