Graph Convolutional Networks for Drug Response Prediction.
Journal:
IEEE/ACM transactions on computational biology and bioinformatics
Published Date:
Feb 3, 2022
Abstract
BACKGROUND: Drug response prediction is an important problem in computational personalized medicine. Many machine-learning-based methods, especially deep learning-based ones, have been proposed for this task. However, these methods often represent the drugs as strings, which are not a natural way to depict molecules. Also, interpretation (e.g., what are the mutation or copy number aberration contributing to the drug response) has not been considered thoroughly.