Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning.
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DOI: 10.1093/bioinformatics/btad342
Abstract: Abstract Motivation Single-cell RNA sequencing enables researchers to study cellular heterogeneity at single-cell level. To this end, identifying cell types of cells with clustering techniques becomes an important task for downstream analysis. However, challenges of… read more here.
Keywords: seq data; cell; prototypical contrastive; single cell ... See more keywords