Multi-omic data helps improve prediction of personalised tumor suppressors and oncogenes

Abstract excerpt

<h4>ABSTRACT</h4> The progression of tumorigenesis starts with a few mutational and structural driver events in the cell. Various cohort-based computational tools exist to identify driver genes but require a large number of samples to produce reliable results. Many studies use different methods to identify driver mutations/genes from mutations that have no impact on tumour progression; however, a small fraction o...

Topics

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• Breast Neoplasms
• Gene Regulatory Networks
• Lung Neoplasms
• Neoplasms
• Oncogenes
• RNA Polymerase II
• RNA Splicing Factors
• Workflow

Identifiers and source

Literature Corpus work

3a94beff-a377-5240-ac0e-505d1cca4e3e

DOI

10.1101/2022.01.13.476163