Article
Learning mutational signatures and their multidimensional genomic properties with TensorSignatures
2019-11-21
Abstract excerpt
Mutational signature analysis is an essential part of the cancer genome analysis toolkit. Conventionally, mutational signature analysis extracts patterns of different mutation types across many cancer genomes. Here we present TensorSignatures, an algorithm to learn mutational signatures jointly across all variant categories and their genomic context. The analysis of 2,778 primary and 3,824 metastatic cancer genome...
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Identifiers and source
- Literature Corpus work
- 6c42c143-4469-57a3-9c36-daa6a69b983f
- DOI
- 10.1101/850453