HiLDA: a statistical approach to investigate differences in mutational signatures

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....

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Bibliografiske detaljer

Principais autores:	Zhi Yang, Priyatama Pandey, Darryl Shibata, David V. Conti, Paul Marjoram, Kimberly D. Siegmund
Format:	Artigo
Sprog:	Inglês
Udgivet:	PeerJ Inc. 2019-08-01
Serier:	PeerJ
Fag:	Mutational signatures Somatic mutation Colorectal cancer Latent dirichlet allocation Deconvolution
Online adgang:	https://peerj.com/articles/7557.pdf
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