Jinpu Cai

The paper benchmarks domain segmentation algorithms for spatial transcriptomics data, showing they fail to identify biologically defined niches due to noise and highlights the need for specialized methods.

This paper introduces GeCCo, a method for cell type identification in single-cell transcriptomics that improves hierarchical consistency by constructing identities based on gene programs.

GAIA provides a framework for analyzing single-cell and spatial transcriptomic data by reconciling discrete and continuous gene expression variation through information geometry.

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