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>

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	Charles Blatti (15292859) (author)
Weitere Verfasser:	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)
Veröffentlicht:	2025
Schlagworte:	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
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!

Cannot write session to /tmp/vufind_sessions/sess_4o6tf5cnrct65c7qn2sornpg39