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

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

Abstract Background The rapid advancement of single-cell RNA sequencing (scRNAseq) technology provides high-resolution views of transcriptomic activity within individual cells. Most routine analyses of scRNAseq data focus on individual genes; however, the one-gene-at-a-time analysis is likely to mis...

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Bibliographic Details
Main Authors: Shuyi Yang, Anderson Bussing, Giampiero Marra, Michelle L. Brinkmeier, Sally A. Camper, Shannon W. Davis, Yen-Yi Ho
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Bioinformatics
Subjects:
Zero-inflated bivariate count data
Single-cell RNA sequencing
Dynamic correlation
Pseudotime
Non-linear regression
Semiparametric regression
Online Access:https://doi.org/10.1186/s12859-025-06218-w
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https://doi.org/10.1186/s12859-025-06218-w

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