A comparative analysis of statistical and machine learning approaches to predict drug resistance based on synergistic genetic alterations

 

  • Authors: Rishi Nair, Nicholas R Mistry, Roy Khalife, Anthony M Magliocco

  • Presented at: AACR 2025, Chicago IL

  • Journal: Cancer Res (2025) 85 (8_Supplement_1): 504

  • Publisher: American Association for Cancer Research

  • Publication Date: 2025/4/21

Introduction:

This study evaluates the utility of a machine learning approach to predict drug resistance in breast cancer (BC), based on comparison to an automated statistical model, using data from cBioPortal.

 
Anthony Magliocco