Article
Pathway-extended gene expression signatures integrate novel biomarkers that improve predictions of patient responses to kinase inhibitors
2020-11-15
Abstract excerpt
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, gefitinib, sorafenib, sunitinib, lapatinib and imatinib. Support Vector Machine learning was used to train mathematical m...
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Identifiers and source
- Literature Corpus work
- 28447321-aa99-5f60-b1b2-da5da4d77bb2
- DOI
- 10.1101/2020.11.13.381798
