Qiangwei Peng

CytoBridge reconstructs continuous virtual cell dynamics from sparse spatial transcriptomic data across development, regeneration, and neurodegeneration.

MOFI reconstructs continuous cell fate transitions from paired multi-omics snapshots across time, revealing coordinated changes in transcriptomic, chromatin, and protein layers.

This study introduces match-seq, a method to trace cell-cell interactions in vivo using CRISPR screens, revealing genetic regulators of tumor-immune interactions.

This paper introduces U-Pert, a framework for modeling unbalanced perturbation dynamics in single-cell data, enabling forward prediction and inverse design of cellular interventions.

OmicOS provides an agent-operable omics ecosystem that enables AI systems to execute and verify analyses using community methods, achieving high performance in benchmark tasks.

STITCH reconstructs high-resolution spatial transcriptomic atlases by imputing missing data in 2D and 3D spatial transcriptomics datasets.

stVCR reconstructs spatiotemporal dynamics from time-series spatial transcriptome data by integrating generative deep learning with optimal transport and spatial priors.

Storm infers RNA velocity using metabolic labeling data by solving stochastic differential equations, revealing time-dependent transcriptional regulations in transient processes.