Multi-omics subtyping of hepatocellular carcinoma patients using a Bayesian network mixture model

Comprehensive molecular characterization of cancer subtypes is essential for predicting clinical outcomes and searching for personalized treatments. We present bnClustOmics, a statistical model and computational tool for multi-omics unsupervised clustering, which serves a dual purpose: Clustering pa...

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Detalles Bibliográficos
Autores principales: Suter, Polina, Dazert, Eva, Kuipers, Jack, Ng, Charlotte K. Y., Boldanova, Tuyana, Hall, Michael N., Heim, Markus H., Beerenwinkel, Niko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481159/
https://www.ncbi.nlm.nih.gov/pubmed/36067230
http://dx.doi.org/10.1371/journal.pcbi.1009767

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9481159/
https://www.ncbi.nlm.nih.gov/pubmed/36067230
http://dx.doi.org/10.1371/journal.pcbi.1009767

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