Identifying Cancer genes by combining two-rounds RWR based on multiple biological data.

ABSTRACT:

Background

It's a very urgent task to identify cancer genes that enables us to understand the mechanisms of biochemical processes at a biomolecular level and facilitates the development of bioinformatics. Although a large number of methods have been proposed to identify cancer genes at recent times, the biological data utilized by most of these methods is still quite less, which reflects an insufficient consideration of the relationship between genes and diseases from a variety of factors.

Results

In this paper, we propose a two-rounds random walk algorithm to identify cancer genes based on multiple biological data (TRWR-MB), including protein-protein interaction (PPI) network, pathway network, microRNA similarity network, lncRNA similarity network, cancer similarity network

SUBMITTER: Zhang W 

PROVIDER: S-EPMC6876101 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature