BioinformaticsbioRxivPreprint
An Information Geometry approach to model topological trajectories and Gene Expression Radius from UMAP geometry.
Marco Polo Castillo-Villalba, Froylan Espinosa Bustamante
This paper introduces a framework combining information geometry and UMAP to model gene expression dynamics and identify stem cell-related genes in single-cell RNA sequencing data.
DOI 10.64898/2026.08.27.747659