Chen Qiao

This paper introduces TransImp, a model for imputing missing features in spatial transcriptomics with uncertainty estimation and spatial regularization, improving reliability in downstream analyses.

UniTVelo improves RNA velocity modeling by incorporating temporal regularization, enhancing trajectory inference across diverse biological systems.

MQuad identifies clonally informative mitochondrial variants from single-cell sequencing data with high sensitivity and specificity, outperforming existing methods.

This paper introduces VeloAE, a method to improve the accuracy and stability of cell transition estimation from RNA velocity data across multiple datasets.