Jiyuan Yang

Castl identifies spatially variable genes by integrating multiple methods to reduce variability and control false discovery rates across datasets.

Spider generates synthetic spatial transcriptomics data by simulating cell type proportions and transitions, enabling benchmarking of analysis tools.

CellPatch is a lightweight foundation model for single-cell transcriptomics that achieves state-of-the-art performance with low computational costs.

STCC improves spatial domain detection in spatial transcriptomics by combining multiple clustering tools through consensus strategies, enhancing accuracy and stability across different data types.