A Bayesian model for unsupervised detection of RNA splicing based subtypes in cancers

Identification of cancer sub-types is a pivotal step for developing personalized treatment. Specifically, sub-typing based on changes in RNA splicing has been motivated by several recent studies. We thus develop CHESSBOARD, an unsupervised algorithm tailored for RNA splicing data that captures “tile...

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Detalles Bibliográficos
Autores principales: Wang, David, Quesnel-Vallieres, Mathieu, Jewell, San, Elzubeir, Moein, Lynch, Kristen, Thomas-Tikhonenko, Andrei, Barash, Yoseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813260/
https://www.ncbi.nlm.nih.gov/pubmed/36599821
http://dx.doi.org/10.1038/s41467-022-35369-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813260/
https://www.ncbi.nlm.nih.gov/pubmed/36599821
http://dx.doi.org/10.1038/s41467-022-35369-0

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