Contains functions for identification of copy number signatures (Geoffrey et al. (2018) <doi:10.1038/s41588-018-0179-8>) and mutation signatures (Alexandrov et al. (2018) <doi:10.1038/nature12477>) by non-negative matrix factorization, signature analysis and visualization. It can be used to capture signatures of genomic variation, compare genotype or phenotype features of different signatures and thus uncover the relationship between the mechanism of genomic variation and phenotypes in cancer.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
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