Jingtao Wang

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

DTPSP selects optimal time points for time-series studies using deep learning, enabling efficient and targeted multi-omics profiling.

scSemiProfiler infers single-cell profiles from bulk data using deep generative models and active learning, validated across datasets to match true single-cell data.

Cellar is an interactive tool for annotating cell types in single-cell multi-omics and spatial proteomics data using HuBMAP datasets.