Pharmacogenomics
We develop AI-powered tools to inform precision therapeutics that connect molecular profiles and causal mechanisms to drug response and resistance at both cell‑line and patient levels, which could assist clinical decision‑making.
Related Papers
(2023).
DeepDrug: A general graph-based deep learning framework for drug-drug interactions and drug-target interactions prediction.
Quantitative Biology, 11(3), 260-274, 2023.
(2020).
DeepCDR: a hybrid graph convolutional network for predicting cancer drug response.
ECCB Proceedings/Bioinformatics, 36(2), i911-i918, 2020.
(2020).
Reinforced molecular optimization with neighborhood-controlled grammars.
Advances in neural information processing systems (NeurIPS), 33, 8366-8377, 2020.