770-Genes2Genes: for Single-Cell Trajectory Alignment

Paper Talk · Apr 9, 2026 · 24m

The paper introduce Genes2Genes (G2G), a novel Bayesian information-theoretic framework designed to align and compare single-cell transcriptomic trajectories. Unlike traditional methods like dynamic time warping, which struggle with mismatched data, G2G uses a five-state dynamic programming algorithm to precisely identify matches, warps, and gaps such as insertions or deletions. This approach allows researchers to pinpoint exactly where in vitro cell engineering diverges from in vivo development or how disease states differ from healthy controls. By analyzing individual gene expression…