Article
Predicting Response to Platin Chemotherapy Agents with Biochemically-inspired Machine Learning
2017-12-11
Abstract excerpt
<h4>ABSTRACT</h4> Selection of effective genes that accurately predict chemotherapy response could improve cancer outcomes. We compare optimized gene signatures for cisplatin, carboplatin, and oxaliplatin response in the same cell lines, and respectively validate each with cancer patient data. Supervised support vector machine learning was used to derive gene sets whose expression was related to cell line GI 50...
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Identifiers and source
- Literature Corpus work
- c8a06b1d-109c-5ff9-9ada-48588b0b2ed7
- DOI
- 10.1101/231712
