Biologically Informed Neural Networks Predict Drug Responses
- PMID: 33096022
- DOI: 10.1016/j.ccell.2020.10.014
Biologically Informed Neural Networks Predict Drug Responses
Abstract
Deep neural networks often achieve high predictive accuracy on biological problems, but it can be hard to contextualize how and explain why predictions are made. In this issue, Kuenzi et al. model the sensitivity of cancers to drugs using deep neural networks with a hierarchical structure derived from the Gene Ontology.
Copyright © 2020 Elsevier Inc. All rights reserved.
Conflict of interest statement
Declaration of Interests J.C.C. is a founder of PrecisionProfile, Inc., and has ownership in the company.
Comment on
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Predicting Drug Response and Synergy Using a Deep Learning Model of Human Cancer Cells.Cancer Cell. 2020 Nov 9;38(5):672-684.e6. doi: 10.1016/j.ccell.2020.09.014. Epub 2020 Oct 22. Cancer Cell. 2020. PMID: 33096023 Free PMC article.
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