A sequence knowledge-guided deep learning method for single-cell multi-omics translation.

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Bibliographic Details
Title: A sequence knowledge-guided deep learning method for single-cell multi-omics translation.
Authors: Zhao M; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China.; University of Chinese Academy of Sciences, Beijing, 100190, China., Li J; College of Intelligence and Computing, Tianjin University, Tianjin, 300350, China., Jiang Y; College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, China., Yan J; College of Engineering, Southern University of Science and Technology, Shenzhen, 518055, China., Tang X; Shenzhen University of Advanced Technology, Shenzhen, 518107, China., Liang C; School of Information Science and Engineering, Shandong Normal University, Jinan, 250358, China., Tang J; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China. jj.tang@siat.ac.cn.; University of Chinese Academy of Sciences, Beijing, 100190, China. jj.tang@siat.ac.cn., Guo F; School of Computer Science and Engineering, Central South University, Changsha, 410083, China. guofei@csu.edu.cn.
Source: Genome biology [Genome Biol] 2026 Apr 14; Vol. 27 (1). Date of Electronic Publication: 2026 Apr 14.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Ltd Country of Publication: England NLM ID: 100960660 Publication Model: Electronic Cited Medium: Internet ISSN: 1474-760X (Electronic) Linking ISSN: 14747596 NLM ISO Abbreviation: Genome Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1474-760X
DOI:10.1186/s13059-026-04070-6