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Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis

2024-04-27

Abstract excerpt

Single-cell RNA sequencing (scRNA-seq) offers unprecedented insights into transcriptome-wide gene expression at the single-cell level. Cell clustering has been long established in the analysis of scRNA-seq data to identify the groups of cells with similar expression profiles. However, cell clustering is technically challenging, as raw scRNA-seq data have various analytical issues, including high dimensionality and...

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Literature Corpus work
631ab903-a4e6-5d59-99a1-4740b25ea84d
DOI
10.1101/2024.04.23.590693
Open publication

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Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data AnalysisDOI 10.1101/2024.04.23.590693
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