Bowen Zhao

CellSexID uses sex-linked gene expression to computationally track donor and recipient cells in chimeric models and beyond.

SC-MAMBA2 is a single-cell foundation model using state-space models to efficiently process ultra-long transcriptome sequences, outperforming existing models in accuracy and efficiency.

scCobra is a deep learning tool that integrates and harmonizes single-cell data by mitigating batch effects and enabling online label transfer.

The paper introduces a self-attention graph convolutional network to identify key DNA methylation sites for multi-tumor early diagnostics, achieving improved sensitivity in blood-based detection.