Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer

Supplementary File 2 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer

<p>Supplementary File 2: Excel file with CommunityAMARETTO Enrichment results</p>

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Bibliografische gegevens
Hoofdauteur:	Charles Blatti (15292859) (author)
Andere auteurs:	Jesús de la Fuente (15292862) (author), Huanyao Gao (14962434) (author), Irene Marín-Goñi (15292865) (author), Zikun Chen (15292868) (author), Sihai D. Zhao (15292871) (author), Winston Tan (15035292) (author), Richard Weinshilboum (15292874) (author), Krishna R. Kalari (15099627) (author), Liewei Wang (14962464) (author), Mikel Hernaez (15292877) (author)
Gepubliceerd in:	2025
Onderwerpen:	Cancer Molecular and Cellular Biology Therapeutic Research and Development Methods and Technology Computational Methods Artificial intelligence & machine learning Drug Resistance Novel mechanisms Regulation of gene expression in drug resistance Gene Regulation Genitourinary Cancers Prostate cancer Systems Biology
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