A Bayesian model for unsupervised detection of RNA splicing based subtypes in cancers
oleh: David Wang, Mathieu Quesnel-Vallieres, San Jewell, Moein Elzubeir, Kristen Lynch, Andrei Thomas-Tikhonenko, Yoseph Barash
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2023-01-01 |
Deskripsi
RNA splicing variations could help identify cancer subtypes, but this task is computationally challenging. Here, the authors develop CHESSBOARD, a Bayesian tile finding algorithm for splicing data which identifies patterns in the form of tiles and can discover leukemia subgroups associated with therapeutic response.