Article
Molecular network-based identification of competing endogenous RNAs and mRNA signatures that predict survival in prostate cancer
4 Oct 2018
Abstract excerpt
BACKGROUND: The aim of the study is described the regulatory mechanisms and prognostic values of differentially expressed RNAs in prostate cancer and construct an mRNA signature that predicts survival. METHODS: The RNA profiles of 499 prostate cancer tissues and 52 non-prostate cancer tissues from TCGA were analyzed. The differential expression of RNAs was examined using the edgeR package. Survival was analyzed...
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