Skip to main content

Table 2 Summary information of the five real datasets

From: ZINBMM: a general mixture model for simultaneous clustering and gene selection using single-cell transcriptomic data

Dataset

No. of cells

No. of genes

Proportion of zeros

No. of cell types

Batch information

Mouse embryonic stem cells

469

38,658

71.22%

3

Factorial design with balanced distribution

Human lung cancer cells

1402

12,997

41.16%

3

Factorial design from different protocols

Mouse uterus cells

2965

8994

91.47%

8

Confounding factors between batch and biology

Mouse liver cells

3971

8868

93.60%

8

Slight batch influence

Mouse mammary gland cells

5154

8254

93.72%

14

Multiple batches