MuDCoD: multi-subject community detection in personalized dynamic gene networks from single-cell RNA sequencing.

ABSTRACT:

Motivation

With the wide availability of single-cell RNA-seq (scRNA-seq) technology, population-scale scRNA-seq datasets across multiple individuals and time points are emerging. While the initial investigations of these datasets tend to focus on standard analysis of clustering and differential expression, leveraging the power of scRNA-seq data at the personalized dynamic gene co-expression network level has the potential to unlock subject and/or time-specific network-level variation, which is critical for understanding phenotypic differences. Community detection from co-expression networks of multiple time points or conditions has been well-studied; however, none of the existing settings included networks from multiple subjects and multiple time points simultaneously. To address t

SUBMITTER: Sapcı AOB 

PROVIDER: S-EPMC10564618 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature