ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data

Table 1 The scRNA-seq datasets used to benchmark the quality of imputation. k represents the number of cell clusters reported in the original study

Dataset	# Samples	# Features	k	Cell Origin	References
Blakeley	30	16862	3	Human blastocyst samples	[43]
Deng	286	18884	10	Stages of mouse pre-implementation development	[44]
Pollen	301	23730	11	Human cell lines	[5]
Darmanis	420	21516	8	Human cortical samples	[45]
Usoskin	622	19532	4	Mouse lumbar	[1]
sim-n	n	20000	4	Splatter synthetically generated data	[46]

The datasets generated and/or analysed during the current study are available in the Github repository, https://github.com/khazum/ccImputeDatasets

ISSN: 1471-2105