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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Detalles Bibliográficos
Autores principales: Kim, Young Rae, Kim, Yong Wan, Lee, Suh Eun, Yang, Hye Won, Kim, Sung Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357167/
https://www.ncbi.nlm.nih.gov/pubmed/30621238
http://dx.doi.org/10.3390/cancers11010045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6357167/
https://www.ncbi.nlm.nih.gov/pubmed/30621238
http://dx.doi.org/10.3390/cancers11010045

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