AIMC Topic: Proto-Oncogene Proteins c-ets

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

Cancer research Apr 14, 2023
UNLABELLED: Survival rates of patients with metastatic castration-resistant prostate cancer (mCRPC) are low due to lack of response or acquired resistance to available therapies, such as abiraterone (Abi). A better understanding of the underlying mol...
Humans Machine Learning Computer Simulation Male Gene Expression Profiling Gene Regulatory Networks Bayes Theorem Basic Helix-Loop-Helix Leucine Zipper Transcription Factors Prostatic Neoplasms Drug Resistance, Neoplasm Transcription, Genetic Repressor Proteins Proto-Oncogene Proteins c-ets Proto-Oncogene Proteins c-myb Androstenes
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