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QOT: Efficient Computation of Sample Level Distance Matrix from Single-Cell Omics Data through Quantized Optimal Transport

2024-02-06

Abstract excerpt

<h4> A bstract </h4> Single-cell technologies have emerged as a transformative technology enabling high-dimensional characterization of cell populations at an unprecedented scale. The data’s innate complexity and voluminous nature pose significant computational and analytical challenges, especially in comparative studies delineating cellular architectures across various biological conditions (i.e., generation o...

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Literature Corpus work: fc475d4a-3dd0-575e-9d4e-91abd299389e
DOI: 10.1101/2024.02.06.578032

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