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Deep Learning Explains the Biology of Branched Glycans from Single-Cell Sequencing Data

2022-06-29

Abstract excerpt

<h4>Summary</h4> Glycosylation is ubiquitous and often dysregulated in disease. However, the regulation and functional significance of various types of glycosylation at cellular levels is hard to unravel experimentally. Multi-omics, single-cell measurements such as SUGAR-seq, which quantifies transcriptomes and cell surface glycans, facilitate addressing this issue. Using SUGAR-seq data, we pioneered a deep learn...

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Literature Corpus work
b0b800a3-5abc-5950-a39a-52d3032aef2b
DOI
10.1101/2022.06.27.497708
Open publication

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Deep Learning Explains the Biology of Branched Glycans from Single-Cell Sequencing DataDOI 10.1101/2022.06.27.497708
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