Communications Biology (Feb 2023)

Pan-cancer clinical impact of latent drivers from double mutations

Bengi Ruken Yavuz,
Chung-Jung Tsai,
Ruth Nussinov,
Nurcan Tuncbag

Affiliations

Bengi Ruken Yavuz: Graduate School of Informatics, Department of Health Informatics, Middle East Technical University
Chung-Jung Tsai: Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick
Ruth Nussinov: Computational Structural Biology Section, Frederick National Laboratory for Cancer Research, National Cancer Institute at Frederick
Nurcan Tuncbag: Department of Chemical and Biological Engineering, College of Engineering, Koç University

DOI: https://doi.org/10.1038/s42003-023-04519-5
Journal volume & issue: Vol. 6, no. 1
pp. 1 – 14

Abstract

A statistical methodology is used to identify potential ‘latent driver’ mutations from public cancer bulk sequencing data.

Published in Communications Biology

ISSN: 2399-3642 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science: Biology (General)
Website: https://www.nature.com/commsbio/

About the journal