New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer.
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ABSTRACT:
SUBMITTER: Petralia F
PROVIDER: S-EPMC4782177 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature
Publications
New Method for Joint Network Analysis Reveals Common and Different Coexpression Patterns among Genes and Proteins in Breast Cancer.
Petralia Francesca F Song Won-Min WM Tu Zhidong Z Wang Pei P
Journal of proteome research 20160202 3
We focus on characterizing common and different coexpression patterns among RNAs and proteins in breast cancer tumors. To address this problem, we introduce Joint Random Forest (JRF), a novel nonparametric algorithm to simultaneously estimate multiple coexpression networks by effectively borrowing information across protein and gene expression data. The performance of JRF was evaluated through extensive simulation studies using different network topologies and data distribution functions. Advant ...[more]
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