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Detecting cell type from single cell RNA sequencing based on deep bi-stochastic graph regularized matrix factorization

2022-05-18

Abstract excerpt

The application of fruitful achievement of single-cell RNA-sequencing (scRNA-seq) technology has generated huge amount of gene transcriptome data. It has provided a whole new perspective to analyze the transcriptome at single-cell level. Cluster analysis of scRNA-seq is an efficient approach to reveal unknown heterogeneity and functional diversity of cell populations, which could further assist researchers to expl...

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Literature Corpus work
d4177ce7-1e8e-5536-8627-32d52ba30254
DOI
10.1101/2022.05.16.492212
Open publication

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Detecting cell type from single cell RNA sequencing based on deep bi-stochastic graph regularized matrix factorizationDOI 10.1101/2022.05.16.492212
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