Tao Wang

This paper introduces MIDI, a model that predicts cancer drug response and explains drug-target interactions using an attention mechanism, outperforming existing methods in prediction and interpretability.

This paper introduces a deep learning method for accurate 3D chloroplast counting in plant cells, achieving over 95% accuracy compared to manual methods.

Cytomulate simulates CyTOF data accurately and efficiently, outperforming existing methods in capturing data characteristics and learning distributions.

This paper develops Sprod, a method to denoise spatial transcriptomics data using location and image information, improving downstream analyses.

The paper develops a deep learning tool to analyze pathology images and identify TME features predictive of survival in lung cancer.