Article

HiLDA: a statistical approach to investigate differences in mutational signatures

2019-03-15

Abstract excerpt

<h4>ABSTRACT</h4> We propose a hierarchical latent Dirichlet allocation model (HiLDA) for characterizing somatic mutation data in cancer. The method allows us to infer mutational patterns and their relative frequencies in a set of tumor mutational catalogs and to compare the estimated frequencies between tumor sets. We apply our method to somatic mutations in colon cancer with mutations classified by the time of...

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Literature Corpus work: 44119d9e-b6aa-525b-9639-d7032d978dc7
DOI: 10.1101/577452

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