DGRanker: Cancer Driver Gene Detection in Human Transcriptional Regulatory Network.

ABSTRACT:

Background

Cancer is a group of diseases that have received much attention in biological research because of its high mortality rate and the lack of accurate identification of its root causes. In such studies, researchers usually try to identify cancer driver genes (CDGs) that start cancer in a cell. The majority of the methods that have ever been proposed for the identification of CDGs are based on gene expression data and the concept of mutation in genomic data. Recently, using networking techniques and the concept of influence maximization, some models have been proposed to identify these genes.

Objectives

We aimed to construct the cancer transcriptional regulatory network and identify cancer driver genes using a network science approach without the use of mutation and ge

SUBMITTER: Rahimi M 

PROVIDER: S-EPMC9583818 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature