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
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.