scCOSMIX: A Mixed‐Effects Framework for Differential Coexpression and Transcriptional Interactions Modeling in Single‐Cell RNA‐Seq

• Published in: Statistics in medicine Vol. 44; no. 18-19; pp. e70213 - n/a
• Main Authors: Bussing, Anderson, Marra, Giampiero, Fan, Daping, Shinohara, Russell, Tu, Danni, Ho, Yen‐Yi
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.08.2025; Wiley Subscription Services, Inc
• Subjects: Computer Simulation; Differential co‐expression; Gene Expression Profiling - methods; hierarchical study design; Humans; mixed effects; Models, Genetic; Models, Statistical; RNA-Seq - methods; Sequence Analysis, RNA - methods; Single-Cell Analysis - methods; Single-Cell Gene Expression Analysis; single‐cell RNA‐seq; Transcription, Genetic; zero‐inflated copula model; single‐cell RNA‐seq; mixed effects; zero‐inflated copula model; Differential co‐expression; hierarchical study design

ABSTRACT Advancements in single‐cell RNA‐sequencing (scRNA‐seq) technologies generate a wealth of gene expression data that provide exciting opportunities for studying gene‐gene interactions systematically at individual cell resolution. Genetic interactions within a cell are tightly regulated and of...