Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models.
Mutation signatures in cancer genomes reflect endogenous and exogenous mutational processes, offering insights into tumour etiology, features for prognostic and biologic stratification and vulnerabilities to be exploited therapeutically. We present a novel machine learning formalism for improved sig...
| Published in: | PLoS Computational Biology |
|---|---|
| Main Authors: | , , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2019-02-01
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| Online Access: | http://europepmc.org/articles/PMC6402697?pdf=render |
