Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNA.
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ABSTRACT:
SUBMITTER: Tian Z
PROVIDER: S-EPMC7367932 | biostudies-literature | 2020
REPOSITORIES: biostudies-literature
Publications
Identification of Important Modules and Biomarkers in Breast Cancer Based on WGCNA.
Tian Zelin Z He Weixiang W Tang Jianing J Liao Xing X Yang Qian Q Wu Yumin Y Wu Gaosong G
OncoTargets and therapy 20200712
<h4>Introduction</h4>Breast cancer (BRCA) has the highest incidence among female malignancies, and the prognosis for these patients remains poor.<h4>Materials and methods</h4>In this study, core modules and central genes related to BRCA were identified through a weighted gene co-expression network analysis (WGCNA). Gene expression profiles and clinical data of GSE25066 were obtained from the Gene Expression Omnibus (GEO) database. The result was validated with RNA-seq data from The Cancer Genome ...[more]
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