Deciphering splicing heterogeneity at single-cell resolution by SCSES.

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Title: Deciphering splicing heterogeneity at single-cell resolution by SCSES.
Authors: Wen X; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China., Lv X; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Guo D; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China., Han N; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Zhou L; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China.; University of Chinese Academy of Sciences, Beijing, 100049, China., Wang P; School of Life Science and Technology, Xidian University, 710071, Xi'an, Shaanxi, China., Liu Z; Department of Computation Biology, China National Center for Bioinformation, Beijing, 100101, China. liuzq@big.ac.cn.; Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, 100101, China. liuzq@big.ac.cn.
Source: Nature communications [Nat Commun] 2025 Oct 27; Vol. 16 (1), pp. 9459. Date of Electronic Publication: 2025 Oct 27.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2041-1723
DOI:10.1038/s41467-025-64517-5