Open AccessUsing <em>TCGAbiolinks</em> package in ranking breast cancer genes from The Cancer Genome Atlas (TCGA) to predict disease-associated genes
Author(s) -
Ngan Vu,
Uyen Bui
Publication year - 2021
Publication title -
proceedings of mol2net'21, conference on molecular, biomedical and computational sciences and engineering, 7th ed.
Language(s) - English
Resource type - Conference proceedings
DOI - 10.3390/mol2net-07-11601
Subject(s) - gene , breast cancer , computational biology , disease , biology , genome , bioconductor , cancer , bioinformatics , genetics , medicine