Module representatives for refining gene co-expression modules.

co-expression module human influenza module refinement prototype salmonella transcriptomics

Journal

Physical biology
ISSN: 1478-3975
Titre abrégé: Phys Biol
Pays: England
ID NLM: 101197454

Informations de publication

Date de publication:
04 05 2023
Historique:
received: 26 01 2023
accepted: 19 04 2023
medline: 5 5 2023
pubmed: 20 4 2023
entrez: 19 04 2023
Statut: epublish

Résumé

This paper concerns the identification of gene co-expression modules in transcriptomics data, i.e. collections of genes which are highly co-expressed and potentially linked to a biological mechanism. Weighted gene co-expression network analysis (WGCNA) is a widely used method for module detection based on the computation of eigengenes, the weights of the first principal component for the module gene expression matrix. This eigengene has been used as a centroid in a

Identifiants

pubmed: 37075776
doi: 10.1088/1478-3975/acce8d
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Creative Commons Attribution license.

Auteurs

Nathan Mankovich (N)

Mathematics, Colorado State University, Fort Collins, CO, United States of America.

Helene Andrews-Polymenis (H)

Microbial Pathogenesis and Immunology, Texas A&M University, College Station, TX, United States of America.

David Threadgill (D)

Institute for Genome Sciences and Society, Texas A&M University, College Station, TX, United States of America.

Michael Kirby (M)

Mathematics, Colorado State University, Fort Collins, CO, United States of America.

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Classifications MeSH