Tianduanyi Wang

This paper develops an improved machine learning model for predicting drug combination dose-response surfaces, showing better performance than scalar-valued synergy score methods.

This paper introduces comboKR, a structured prediction method for drug combination response surfaces, showing improved performance in predicting responses for new drugs.

The paper proposes a two-stage machine learning method that combines single-dose and dose-response data to improve compound-kinase activity prediction, achieving high accuracy and hit rates in experimental validation.

The paper introduces comboLTR, a method for predicting drug combination effects using latent tensor reconstruction, outperforming existing methods in speed and accuracy.