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.
from Cancer Cell https://ift.tt/3dOvCUJ
from Cancer Cell https://ift.tt/3dOvCUJ