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Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation.

Genes (Basel) · 2020 · PMC7397036 · PMID 32674393

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a decreasing trendno p-value reported
In particular, when other parameters are fixed, and the dropout probability increases, the ARI and annotation accuracy of each method show a decreasing trend, but scAnCluster is always located at the top of the four lines (see Supplementary Figure S1 ).

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