Jiachen Li

VeloTrace unifies RNA velocity and trajectory inference using NeuralODEs, improving accuracy and coherence in single-cell transcriptomic analysis.

TSvelo improves RNA velocity analysis by modeling gene regulation, transcription, and splicing with neural ODEs, showing better performance on multi-lineage scRNA-seq datasets.

TFvelo improves RNA velocity estimation by incorporating gene regulatory information, achieving accurate dynamics modeling without relying on splicing data.

CINS infers differential cell-cell interactions between conditions using scRNA-Seq data and identifies the proteins involved in these interactions.