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Table 1 Single cell RNA-Seq datasets used

From: Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model

Number

Author

Tissue

Cells

MTU

Notes

1

Zheng [5]

ERCC

1015

11,125

Spike-in only; technical negative control

2

Zheng [5]

Monocytes

2612

782

1 cell type; biological negative control

3

Tung [32]

iPSCs

57

24,170

1 cell type; biological negative control

4

Duo [15]

PBMCs

3994

1215

4 equal clusters of FACS-purified cells

5

Duo [15]

PBMCs

3994

1298

8 equal clusters of FACS-purified cells

6

Haber [33]

Intestine

533

3755

Authors computationally identified 12 types

7

Muraro [34]

Pancreas

2282

18,795

Authors computationally identified 9 types

8

Zheng [5]

PBMCs

68,579

1292

Benchmarking computational speed

  1. Species: all H. sapiens except Haber (M. musculus). Protocols: all 10 × except Muraro (CEL-Seq2) and Tung (SMARTer). MTU median total UMI count. iPSCs induced pluripotent stem cells