Runzi Tan

evoCancerGPT: Generating Zero-Shot Single-Cell and Single-Sample Cancer Progression Through Transfer Learning

evoCancerGPT generates cancer progression patterns using transfer learning on single-cell RNA sequencing data, outperforming baselines in low-context scenarios.

Biological Reasoning with Reinforcement Learning through Natural Language Enables Generalizable Zero-Shot Cell Type Annotations

This paper uses a large language model to perform zero-shot cell type annotations on scRNA-seq data, showing improved performance over existing models and providing interpretable biological rationales.