Article
A Bayesian model for unsupervised detection of RNA splicing based subtypes in cancers.
Nature communications - 4 Jan 2023
Wang David, Quesnel-Vallieres Mathieu, Jewell San, Elzubeir Moein, Lynch Kristen, Thomas-Tikhonenko Andrei, Barash Yoseph
Abstract excerpt
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 "tiles" in the data, defined by a subset of unique splicing changes in a subset of patients. CHESSBOARD allows for a...
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