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....
Sábháilte in:
| Príomhchruthaitheoirí: | , , , , , |
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| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe / Cruthaithe: |
PeerJ Inc.
2019-08-01
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| Sraith: | PeerJ |
| Ábhair: | |
| Rochtain ar líne: | https://peerj.com/articles/7557.pdf |
| Clibeanna: |
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