MNMO: discover driver genes from a multi-omics data based-multi-layer network.

ABSTRACT:

Motivation

Cancer as a public health problem is driven by genomic variations in "cancer driver" genes. The identification of driver genes is critical for the discovery of key biomarkers and the development of personalized therapy.

Results

We propose a prediction method MNMO: a multi-layer network model based on multi-omics data. MNMO firstly constructs a dynamically adjusted four-layer network composed of miRNAs and three kinds of genes with different features. Then three kinds of scores, i.e. control capacity, mutation score, and network score, are devised and calculated by harmonic mean to produce the integrated gene score. Experiments were performed on three kinds of real cancer data to compare the identification performance of method MNMO with that of six state-of-the-ar

SUBMITTER: Deng Z 

PROVIDER: S-EPMC12033032 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature