Gene relevance based on multiple evidences in complex networks.

ABSTRACT:

Motivation

Multi-omics approaches offer the opportunity to reconstruct a more complete picture of the molecular events associated with human diseases, but pose challenges in data analysis. Network-based methods for the analysis of multi-omics leverage the complex web of macromolecular interactions occurring within cells to extract significant patterns of molecular alterations. Existing network-based approaches typically address specific combinations of omics and are limited in terms of the number of layers that can be jointly analysed. In this study, we investigate the application of network diffusion to quantify gene relevance on the basis of multiple evidences (layers).

Results

We introduce a gene score (mND) that quantifies the relevance of a gene in a biological process

SUBMITTER: Di Nanni N 

PROVIDER: S-EPMC9883679 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature