Modeling multifunctionality of genes with secondary gene co-expression networks in human brain provides novel disease insights.

ABSTRACT:

Motivation

Co-expression networks are a powerful gene expression analysis method to study how genes co-express together in clusters with functional coherence that usually resemble specific cell type behavior for the genes involved. They can be applied to bulk-tissue gene expression profiling and assign function, and usually cell type specificity, to a high percentage of the gene pool used to construct the network. One of the limitations of this method is that each gene is predicted to play a role in a specific set of coherent functions in a single cell type (i.e. at most we get a single for each gene). We present here GMSCA (Gene Multifunctionality Secondary Co-expression Analysis), a software tool that exploits the co-expression paradigm to increase the

SUBMITTER: Sanchez JA 

PROVIDER: S-EPMC8479669 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature