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Reference-free Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural Network

2020-05-14

Abstract excerpt

Advances in single-cell RNA sequencing (scRNA-seq) have furthered the simultaneous classification of thousands of cells in a single assay based on transcriptome profiling. In most analysis protocols, single-cell type annotation relies on marker genes or RNA-seq profiles, resulting in poor extrapolation. Here, we introduce scDeepSort ( https://github.com/ZJUFanLab/scDeepSort ), a reference-free cell-type annotatio...

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Literature Corpus work
d8a93904-4865-528b-a04f-9ac6fe5b435d
DOI
10.1101/2020.05.13.094953
Open publication

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Reference-free Cell-type Annotation for Single-cell Transcriptomics using Deep Learning with a Weighted Graph Neural NetworkDOI 10.1101/2020.05.13.094953
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