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Table 1 Single-cell RNA-sequencing data-sets in this study

From: SMaSH: a scalable, general marker gene identification framework for single-cell RNA-sequencing

Data-set

Technology

Cells

Genes

\(\#\) Cell types

References

Human lung cancer (broad)

10X scRNA-seq

54,574

18,612

7

N.A.

Human lung cancer (cell sub-types)

10X scRNA-seq

54,574

18,612

34

N.A.

Mouse brain (broad)

Single nucleus RNA-seq

40,532

31,053

9

[17]

Mouse brain (cell sub-types)

Single nucleus RNA-seq

40,532

31,053

31

[17]

Zeisel

10X scRNA-seq

3005

4000

7

[18]

CITE-seq

CITE-seq

8617

500

13

[19]

Paul15

MARS-seq

2730

3451

10

[20]

Human foetal liver

10X scRNA-seq

65,712

19,572

18

[21]

Human foetal organs

10X scRNA-seq

211,754

23,054

40

[21]

  1. The different data-sets considered in the benchmarking of SMaSH