Satish Ranganathan Ganakammal

Sep 14, 2023 | biorxiv.org | Sara Jones |Venkata Vineeth Gutta |Satish Ranganathan Ganakammal |Matthew Beyers

AbstractUsing deep learning in cancer research to tackle scientific challenges is becoming an increasingly popular technique. Advances in enhanced data generation, machine learning algorithms, and compute infrastructure have led to an acceleration in the use of deep learning in various domains of cancer research such as drug response problems.