Biologically Informed Neural Networks Predict Drug Responses

• Published in: Cancer cell Vol. 38; no. 5; pp. 613 - 615
• Main Authors: Greene, Casey S., Costello, James C.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 09.11.2020
• ISSN: 1535-6108; 1878-3686
• DOI: 10.1016/j.ccell.2020.10.014

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. 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.