Deep learning for drug response prediction in cancer
Abstract
Predicting the sensitivity of tumors to specific anti-cancer treatments is a challenge of paramount importance for precision medicine. Machine learning(ML) algorithms can be trained on high-throughput screening data to develop models that are able to predict the response of cancer cell lines and patients to novel drugs or drug combinations. Deep learning (DL) refers to a distinct class of ML algorithms that have achieved top-level performance in...
Paper Details
Title
Deep learning for drug response prediction in cancer
Published Date
Jan 17, 2020
Journal
Volume
22
Issue
1
Pages
360 - 379
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