A computational approach to generate highly conserved gene co-expression networks with RNA-seq data

We describe a consensus approach for network construction based on fully conserved gene-gene interactions from randomly downsampled data subsets for an unbiased differential analysis of gene co-expression networks. The pipeline allows users to identify network nodes lost, conserved, and acquired in...

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Detalles Bibliográficos
Autores principales: Arshad, Zainab, McDonald, John F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168722/
https://www.ncbi.nlm.nih.gov/pubmed/35677606
http://dx.doi.org/10.1016/j.xpro.2022.101432

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9168722/
https://www.ncbi.nlm.nih.gov/pubmed/35677606
http://dx.doi.org/10.1016/j.xpro.2022.101432

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