Yan Zheng

This paper introduces RL-GenRisk, a deep reinforcement learning method for identifying ccRCC risk genes, which outperforms existing methods and identifies ten novel risk genes, including validated EGFR.

CellAgent uses an LLM-driven multi-agent framework to automate scRNA-seq and spatial transcriptomics analysis through natural language interactions, achieving 60% efficiency improvement over manual methods.