It is my pleasure to share that I successfully defended my PhD thesis today. I worked on transfer learning in drug response prediction for five amazing years. I feel very happy and satisfied with my journey. I would like to thank my supervisors Martin Ester and Colin Collins, PhD for endless support, inspiring me, keeping me focused, and believing in me especially when I had no faith in myself. I also would like to thank my examining committee Maxwell Libbrecht and Joseph Lehár for sharing their insights about our work and giving me many interesting ideas to work on them in the future. Stay tuned for the next journey… :)
Some of our papers on this topic: -MOLI: Multi-Omics Late Integration with Deep Neural Networks for Drug Response Prediction (ISMB/ECCB 2019-Bioinformatics)
-AITL: Adversarial Inductive Transfer Learning with Input and Output Space Adaptation for Pharmacogenomics (ISMB 2020-Bioinformatics)
-Velodrome: Out-of-Distribution Generalization from Labeled and Unlabeled Gene Expression Data for Drug Response Prediction” bioRxiv 2021
-Interpretable drug response prediction using a knowledge-based neural network (KDD 2021)
-Drug Sensitivity Prediction From Cell Line-Based Pharmacogenomics Data: Guidelines for Developing Machine Learning Models (Briefings in Bioinformatics 2021)