Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer.

Charles Blatti,Jesús de la Fuente,Huanyao Gao, Irene Marín-Goñi,Zikun Chen,Sihai D Zhao,Winston Tan,Richard Weinshilboum,Krishna R Kalari,Liewei Wang,Mikel Hernaez

Cancer research（2023）

引用 2|浏览26

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摘要

The computational method TraRe built on Bayesian machine learning models for investigating transcriptional network structures shows that disruption of ELK3, MXD1, and MYB signaling cascades impacts abiraterone resistance in prostate cancer.

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关键词

transcriptional network disruptions,machine learning,prostate,bayesian,cancer,drug-resistant

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