Prediction of Disease Genes Based on Stage-Specific Gene Regulatory Networks in Breast Cancer.

ABSTRACT: Breast cancer is one of the most common malignant tumors in women, which seriously endangers women's health. Great advances have been made over the last decades, however, most studies predict driver genes of breast cancer using biological experiments and/or computational methods, regardless of stage information. In this study, we propose a computational framework to predict the disease genes of breast cancer based on stage-specific gene regulatory networks. Firstly, we screen out differentially expressed genes and hypomethylated/hypermethylated genes by comparing tumor samples with corresponding normal samples. Secondly, we construct three stage-specific gene regulatory networks by integrating RNA-seq profiles and TF-target pairs, and apply WGCNA to detect modules from these networks. Subs

SUBMITTER: Fan L 

PROVIDER: S-EPMC8321251 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature