Multi-layered network-based pathway activity inference using directed random walks: application to predicting clinical outcomes in urologic cancer.

ABSTRACT:

Motivation

To better understand the molecular features of cancers, a comprehensive analysis using multi-omics data has been conducted. In addition, a pathway activity inference method has been developed to facilitate the integrative effects of multiple genes. In this respect, we have recently proposed a novel integrative pathway activity inference approach, iDRW and demonstrated the effectiveness of the method with respect to dichotomizing two survival groups. However, there were several limitations, such as a lack of generality. In this study, we designed a directed gene-gene graph using pathway information by assigning interactions between genes in multiple layers of networks.

Results

As a proof-of-concept study, it was evaluated using three genomic profiles of urologic ca

SUBMITTER: Kim SY 

PROVIDER: S-EPMC8388033 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature