Article
Integrating gene mutation spectra from tumors and the general population with gene expression topological networks to identify novel cancer driver genes
2023-05-03
Abstract excerpt
<h4>Background</h4> Understanding the genetics underlying cancer development and progression is the most important goal of biomedical research to improve patient survival rates. Recently, researchers have proposed computationally combining the mutational burden with biological networks as a novel means to identify cancer driver genes. However, these approaches treated all mutations as having the same functional i...
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Identifiers and source
- Literature Corpus work
- add935fd-f0c6-590a-a05c-c625495064b1
- DOI
- 10.1101/2023.05.02.539093