Chaoqi Liang

scMOBA is a multi-omics brain agent that integrates single-cell and spatial data across species, achieving state-of-the-art cell type classification and improving downstream tasks like aging clock construction and disease prediction.

This paper introduces scMRDR, a framework for integrating unpaired single-cell and spatial multi-omics data, showing strong performance in batch correction and spatial mapping.

scDNAm-GPT is a foundation model for single-cell DNA methylation analysis that improves clustering, trajectory inference, and deconvolution using context-aware tokenization and attention mechanisms.

Genomics-FM is a foundation model that reduces reliance on labeled data and outperforms existing models in genome annotation, epigenomic prediction, and variant effect assessment.