Comparative Analysis of Prostate Cancer Gene Regulatory Networks via Hub Type Variation.

ABSTRACT:

Background

Prostate cancer is one of the most widespread cancers in men and is fundamentally a genetic disease. Identifying regulators in cancer using novel systems biology approaches will potentially lead to new insight into this disease. It was sought to address this by inferring gene regulatory networks (GRNs). Moreover, dynamical analysis of GRNs can explain how regulators change among different conditions, such as cancer subtypes.

Methods

In our approach, independent gene regulatory networks from each prostate state were reconstructed using one of the current state-of-art reverse engineering approaches. Next, crucial genes involved in this cancer were highlighted by analyzing each network individually and also in comparison with each other.

Results

In this paper,

SUBMITTER: Khosravi P 

PROVIDER: S-EPMC4388891 | biostudies-literature | 2015 Jan-Mar

REPOSITORIES: biostudies-literature