A Boolean-based machine learning framework identifies predictive biomarkers of HSP90-targeted therapy response in prostate cancer

A Boolean-based machine learning framework identifies predictive biomarkers of HSP90-targeted therapy response in prostate cancer

Precision medicine has emerged as an important paradigm in oncology, driven by the significant heterogeneity of individual patients’ tumour. A key prerequisite for effective implementation of precision oncology is the development of companion biomarkers that can predict response to anti-cancer thera...

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Bibliografische gegevens
Hoofdauteurs: Sung-Young Shin, Margaret M. Centenera, Joshua T. Hodgson, Elizabeth V. Nguyen, Lisa M. Butler, Roger J. Daly, Lan K. Nguyen
Formaat: Artikel
Taal:English
Gepubliceerd in: Frontiers Media S.A. 2023-01-01
Reeks:Frontiers in Molecular Biosciences
Onderwerpen:
precision oncology
predictive biomarker
machine learning
feature selection
Boolean function minimization
prostate cancer
Online toegang:https://www.frontiersin.org/articles/10.3389/fmolb.2023.1094321/full

Internet

https://www.frontiersin.org/articles/10.3389/fmolb.2023.1094321/full

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