Yichen Wang

LIGER2 improves single-cell data integration by enhancing scalability and efficiency while preserving biological variation.

CytoSignal detects and quantifies ligand-receptor signaling interactions at cellular resolution from spatial transcriptomic data, enabling spatial gradient analysis and temporal dynamics prediction.

CytoSimplex visualizes cell differentiation trajectories using simplex geometry to represent cell fate commitment and potential in 2D and 3D plots.

This study shows that repetitive head impacts in young athletes cause neuronal loss and neuroinflammation before CTE pathology, with specific cellular changes linked to disease progression.

SCTK2.0 provides an integrated toolkit for scRNA-seq analysis with a graphical interface, enabling non-programmers to perform end-to-end workflows and generate reproducible reports.

The paper introduces MAMS, a metadata standard for single-cell data matrices and analysis workflows, to improve reproducibility and interoperability across datasets.

The paper introduces a pipeline for generating, visualizing, and reporting quality control metrics for scRNA-seq data, improving standardization across platforms.