Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
Abstract Large‐scale cancer genome sequencing has uncovered thousands of gene mutations, but distinguishing tumor driver genes from functionally neutral passenger mutations is a major challenge. We analyzed 800 cancer genomes of eight types to find single‐nucleotide variants (SNVs) that precisely ta...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Springer Nature
2013-01-01
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Series: | Molecular Systems Biology |
Subjects: | |
Online Access: | https://doi.org/10.1038/msb.2012.68 |