Tinghe Zhang

CaMeRe predicts patient-specific clinical responses to drug combinations by integrating causal representation learning and meta-learning, showing robust performance across multiple datasets and cancer types.

This study introduces GS-NN, a gene-set-based deep learning method to augment surface protein levels from scRNA-seq data, showing improved cross-subject performance and interpretability.

reguloGPT constructs a knowledge graph of molecular regulatory pathways using GPT-4 for entity recognition and relationship extraction, improving over existing methods and demonstrating utility in cancer research.