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A Versatile Deep Graph Contrastive Learning Framework for Single-cell Proteomics Embedding

2022-12-15

Abstract excerpt

The advance of single-cell proteomics sequencing technology sheds light on the research in revealing the protein-protein interactions, the post-translational modifications, and the proteoform dynamics of proteins in a cell. However, the uncertainty estimation for peptide quantification, data missingness, severe batch effects and high noise hinder the analysis of single-cell proteomic data. It is a significant chal...

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Literature Corpus work
adea064c-539d-5ce0-a8cd-689c2083e940
DOI
10.1101/2022.12.14.520366
Open publication

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A Versatile Deep Graph Contrastive Learning Framework for Single-cell Proteomics EmbeddingDOI 10.1101/2022.12.14.520366
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