Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer Article Swipe

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Charles Blatti , Jesús de la Fuente , Huanyao Gao , Irene Marín-Goñi , Zikun Chen , Sihai Dave Zhao , Winston Tan , Richard M. Weinshilboum , Krishna R. Kalari , Liewei Wang , Mikel Hernáez ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.1158/0008-5472.22633049.v1

Supplementary File 3: Excel file with Supplementary tables S6 - S9

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Computer Science

Cancer

Artificial Intelligence

Machine Learning

Computational Biology

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Identification (biology) Bayesian network Prostate cancer Computer science Cancer Bayesian probability Artificial intelligence Machine learning Computational biology Medicine Internal medicine Biology Botany

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Type: preprint
Language: en
Landing Page: https://doi.org/10.1158/0008-5472.22633049.v1
OA Status: gold
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DOI: https://doi.org/10.1158/0008-5472.22633049.v1

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Title: Supplementary File 3 from Bayesian Machine Learning Enables Identification of Transcriptional Network Disruptions Associated with Drug-Resistant Prostate Cancer

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Type: preprint

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Language: en

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Publication year: 2023

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Publication date: 2023-04-14

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Authors: Charles Blatti, Jesús de la Fuente, Huanyao Gao, Irene Marín-Goñi, Zikun Chen, Sihai Dave Zhao, Winston Tan, Richard M. Weinshilboum, Krishna R. Kalari, Liewei Wang, Mikel Hernáez

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Landing page: https://doi.org/10.1158/0008-5472.22633049.v1

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Concepts: Identification (biology), Bayesian network, Prostate cancer, Computer science, Cancer, Bayesian probability, Artificial intelligence, Machine learning, Computational biology, Medicine, Internal medicine, Biology, Botany

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