Pathway‐extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors

Cancer chemotherapy responses have been related to multiple pharmacogenetic biomarkers, often for the same drug. This study utilizes machine learning to derive multi‐gene expression signatures that predict individual patient responses to specific tyrosine kinase inhibitors, including erlotinib, gefi...

Descripción completa

Detalles Bibliográficos
Autores principales: Bagchee‐Clark, Ashis J., Mucaki, Eliseos J., Whitehead, Tyson, Rogan, Peter K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491218/
https://www.ncbi.nlm.nih.gov/pubmed/34766125
http://dx.doi.org/10.1002/mco2.46

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491218/
https://www.ncbi.nlm.nih.gov/pubmed/34766125
http://dx.doi.org/10.1002/mco2.46

Ejemplares similares