GENerateZ: Automatic De Novo Design of Anticancer Drugs using Transcriptomic Data, Genetic Algorithms, and Variational Autoencoders


We propose a novel machine learning architecture and technique for de novo drug discovery of anti-cancer drugs by using discrete representations of drugs’ chemical compositions and the transcriptomics of targets.

Full Paper

Slide and Abstract

Talk Recording