Article
Discovering the mechanism of action of drugs with a sparse explainable network.
EBioMedicine - 1 Sept 2023
Sada Del Real Katyna, Rubio Angel
Abstract excerpt
BACKGROUND: Although Deep Neural Networks (DDNs) have been successful in predicting the efficacy of cancer drugs, the lack of explainability in their decision-making process is a significant challenge. Previous research proposed mimicking the Gene Ontology structure to allow for interpretation of each neuron in the network. However, these previous approaches require huge amount of GPU resources and hinder its...
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