770-Genes2Genes: for Single-Cell Trajectory Alignment

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 allo...去小宇宙查看完整单集简介
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