Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach

Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach

Epidermal growth factor receptor (EGFR) inhibitors have benefitted cancer patients worldwide, but resistance inevitably develops over time, resulting in treatment failures. An accurate prediction model for acquired resistance (AR) to EGFR inhibitors is critical for early diagnosis and according inte...

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Bibliographic Details
Main Authors: Young Rae Kim, Yong Wan Kim, Suh Eun Lee, Hye Won Yang, Sung Young Kim
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Cancers
Subjects:
drug resistance
gefitinib
erlotinib
biostatistics
bioinformatics
Online Access:http://www.mdpi.com/2072-6694/11/1/45

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