Back to search

Article

Integrating gene expression, mutation and copy number data to identify driver genes of recurrent chromosome-arm losses

2025-02-27

Abstract excerpt

Aneuploidy is a hallmark of cancer, yet the specific genes driving recurrent chromosome-arm losses remain largely unknown. Here, we present a systematic framework integrating gene expression, mutation, and copy number data to identify candidate driver genes of cancer type-specific recurrent chromosome-arm losses across 20 cancer types, using ∼7,500 tumors from The Cancer Genome Atlas. By analyzing focal deletions...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7eb530c2-3865-530f-9f06-47494fccac72
DOI
10.1101/2025.02.22.639659
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Integrating gene expression, mutation and copy number data to identify driver genes of recurrent chromosome-arm lossesDOI 10.1101/2025.02.22.639659
Select a neighboring publication to make it the new centre.