Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data.

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Bibliographic Details
Title: Time-coexpress: temporal trajectory modeling of dynamic gene co-expression patterns using single-cell transcriptomics data.
Authors: Yang S; Department of Statistics, University of South Carolina, Columbia, USA. shuyi@email.sc.edu., Bussing A; Department of Statistics, University of South Carolina, Columbia, USA., Marra G; Department of Statistical Science, University College London, London, UK., Brinkmeier ML; Department of Human Genetics, University of Michigan, Ann Arbor, USA., Camper SA; Department of Human Genetics, University of Michigan, Ann Arbor, USA., Davis SW; Department of Biological Sciences, University of South Carolina, Columbia, USA., Ho YY; Department of Statistics, University of South Carolina, Columbia, USA.
Source: BMC bioinformatics [BMC Bioinformatics] 2025 Jul 29; Vol. 26 (1), pp. 199. Date of Electronic Publication: 2025 Jul 29.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2105
DOI:10.1186/s12859-025-06218-w