Article

A Graph Coarsening Algorithm for Compressing Representations of Single-Cell Data with Clinical or Experimental Attributes

2022-08-02

Abstract excerpt

Graph-based algorithms have become essential in the analysis of single-cell data for numerous tasks, such as automated cell-phenotyping and identifying cellular correlates of experimental perturbations or disease states. In large multi-patient, multi-sample single-cell datasets, the analysis of cell-cell similarity graphs representations of these data becomes computationally prohibitive. Here, we introduce cytoco...

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Literature Corpus work: 76e60d8c-7196-58fe-b470-fafed2f6f6ee
DOI: 10.1101/2022.07.30.502142

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A Graph Coarsening Algorithm for Compressing Representations of Single-Cell Data with Clinical or Experimental AttributesDOI 10.1101/2022.07.30.502142Read

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