Identification of novel targets for multiple myeloma through integrative approach with Monte Carlo cross-validation analysis.

ABSTRACT: More than one pathway is involved in disease development and progression, and two or more pathways may be interconnected to further affect the disease onset, as functional proteins participate in multiple pathways. Thus, identifying cross-talk among pathways is necessary to understand the molecular mechanisms of multiple myeloma (MM). Based on this, this paper looked at extracting potential pathway cross-talk in MM through an integrative approach using Monte Carlo cross-validation analysis. The gene expression library of MM (accession number: GSE6477) was downloaded from the Gene Expression Omnibus (GEO) database. The integrative approach was then used to identify potential pathway cross-talk, and included four steps: Firstly, differential expression analysis was conducted to identify diff

SUBMITTER: Liu C 

PROVIDER: S-EPMC5565744 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature