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http://dx.doi.org/10.1093/bioinformatics/btaa664 | DOI Listing |
Bioinformatics
May 2020
School of Mathematics and Statistics, Hainan Normal University, Haikou 570100, P.R. China.
Motivation: Single-cell RNA-sequencing (scRNA-seq) technology provides a powerful tool for investigating cell heterogeneity and cell subpopulations by allowing the quantification of gene expression at single-cell level. However, scRNA-seq data analysis remains challenging because of various technical noises such as dropout events (i.e.
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