Published January 1, 2017 | Version v1
Journal article Open

Graph-theoretical comparison of normal and tumor networks in identifying BRCA genes

  • 1. Hosp Virgen Rocio, Clin Bioinformat Res Area, Fdn Progreso & Salud, Seville, Spain
  • 2. Antalya Bilim Univ, Computer Engn, Antalya, Turkey

Description

Background: Identification of driver genes related to certain types of cancer is an important research topic. Several systems biology approaches have been suggested, in particular for the identification of breast cancer (BRCA) related genes. Such approaches usually rely on differential gene expression and/or mutational landscape data. In some cases interaction network data is also integrated to identify cancer-related modules computationally.

Files

bib-f1226510-a726-454a-9973-e96a6fd7ee9e.txt

Files (146 Bytes)

Name Size Download all
md5:16c695046fb8991ecf51e5cd326df886
146 Bytes Preview Download