Our paper “AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics” got accepted at ISMB 2020 and will appear at the Bioinformatics journal!
[Read More]
AITL preprint on transfer learning
Adversarial adaptation and multi-task learning
Our most recent preprint is out! AITL: Adversarial Inductive Transfer Learning with input and output space adaptation for pharmacogenomics
[Read More]
Recent MLCB posters
Drug response prediction
I had two poster papers at Machine Learning in Computational Biology (MLCB) co-located with NeurIPS 2019 in Vancouver. We worked on drug response prediction from transfer learning point of view and knowledge-based networks point of view.
The BDKANN method
Drug response prediction
Our most recent pre-print on knowledge-based deep neural networks for drug response prediction: BDKANN – Biological Domain Knowledge-based Artificial Neural Network for drug response prediction
[Read More]
Road to Edmonton!
Deep Learning Reinforcement Learning Summer School
I successfully presented my poster on data integration for drug response prediction at DLRLSS in Edmonton. It felt great to share our work on my birthday!