Mingyue Gao

This paper introduces scPEFT, a parameter-efficient fine-tuning framework for scLLMs that improves task adaptation with reduced computational costs and enhances performance in disease-specific and cross-species analyses.

This study identifies Snhg3 as a lncRNA that exacerbates hepatic steatosis through PPARγ signaling by modulating SND1 and chromatin remodeling in MASLD.

This paper introduces parameter-efficient fine-tuning strategies to improve cell type identification in single-cell models, achieving better performance with reduced computational cost.