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. 2019 Dec 11;10:1253. doi: 10.3389/fgene.2019.01253

Table 1.

List of the real datasets used to perform the clustering evaluation.

Single cell dataset Organism Cells under study Protocol Accession
Baron2016_m Mouse Pancreas inDrop GSE84133
Klein2015 Mouse Embryonic stem cells inDrop GSE65525
Zeisel2015 Mouse Cerebral cortex STRT/C1 UMI GSE60361
Darmanis2015 Human Brain SMARTer GSE67835
Deng2014_raw Mouse Preimplantation embryos Smart-Seq GSE45719
Goolam2016 Mouse Early embryos Smart-Seq2 E-MTAB-3321
Kolodziejczyk2015 Mouse Stem cells SMARTer E-MTAB-2600
Li2017 Human Colorectal tumors SMARTer GSE81861
Romanov2016 Mouse Hypothalamus Fluidigm C1 GSE74672
Tasic2016_raw Mouse Brain SMARTer GSE71585
Deng2014_rpkm Mouse Preimplantation embryos Smart-Seq GSE45719
Segerstolpe2016 Human Pancreas Smart-Seq2 E-MTAB-5061
Tasic2016_rpkm Mouse Brain SMARTer GSE71585
Xin2016 Human Pancreas SMARTer GSE81608
Yan2013 Human Preimplantation embryos Tang GSE36552
Biase2014 Mouse Embryos SMARTer GSE57249
Treutlein2014 Mouse Lung epithelial cells SMARTer GSE52583

Datasets (named by the author and date of publication) contain gene expression of cells from various organisms and tissues that have been processed by different experimental protocols. Protocols include 3’ or 5’ tag and droplet-based approaches (inDrop and STRT/C1 UMI), or full-length plate-based approaches, such as Smart-Seq, Smart-Seq2, SMARTer or Fluidigm C1. Tang protocol corresponds to mRNA-Seq assay described in (Tang et al., 2009). For more information about protocols see (Svensson et al., 2018).