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

Research output: Contribution to journalArticlepeer-review

Fingerprint

Dive into the research topics of 'Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer'. Together they form a unique fingerprint.

Keyphrases

Biochemistry, Genetics and Molecular Biology

Immunology and Microbiology