Communications Biology (Apr 2022)

Bayesian networks elucidate complex genomic landscapes in cancer

Nicos Angelopoulos,
Aikaterini Chatzipli,
Jyoti Nangalia,
Francesco Maura,
Peter J. Campbell

Affiliations

Nicos Angelopoulos: The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute
Aikaterini Chatzipli: The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute
Jyoti Nangalia: The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute
Francesco Maura: Myeloma Program, Sylvester Comprehensive Cancer Center, University of Miami
Peter J. Campbell: The Cancer, Ageing and Somatic Mutation Programme, Wellcome Sanger Institute

DOI: https://doi.org/10.1038/s42003-022-03243-w
Journal volume & issue: Vol. 5, no. 1
pp. 1 – 11

Abstract

Bayesian network inference on several blood and solid cancer genomic datasets provides more accessible ways to explore driver events in cancer.

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