Information Geometry Reconciles Discrete and Continuous Variation in Single-Cell and Spatial Transcriptomic Analysis
Jinpu Cai, Yuxuan Wang, Yunhao Qiao, Cheng Wang, Ziqi Rong, 禄庭 周, Haoyang Liu, Meng Jiang, Hong-Bin Shen, Jingyi Jessica Li, Hongyi Xin
GAIA provides a framework for analyzing single-cell and spatial transcriptomic data by reconciling discrete and continuous gene expression variation through information geometry.
bioRxiv · Apr 23, 2026 · PreprintBioinformatics