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Table 3 Time required to run different partitioning strategies implemented in schist on various datasets

From: Nested Stochastic Block Models applied to the analysis of single cell data

Dataset

Cells

Edges

Leiden

PPBM

nSBM

sc-mixology [47]

860

9186

00:06

00:13

00:36

Quartz-seq2 [54]

1266

14,603

00:10

00:19

00:45

MARS-seq [54]

1401

21,756

00:20

00:34

02:14

iCELL8 [54]

1830

30,636

00:23

00:40

03:02

Chromium 10x [54]

1523

21,447

00:14

00:26

01:07

Hematopoiesis [52]

2730

15,444

00:37

01:27

05:52

Mouse Cortex [58]

3005

54,460

00:59

00:53

07:32

Endocrinogenesis [59]

3696

74,670

01:15

01:29

10:56

Baron Pancreas [60]

8569

294,480

03:51

07:35

1:33:40

Airzani Liver [61]

10,368

354,440

04:13

09:47

1:42:23

Tabula Muris [48]

12,434

265,610

03:07

10:00

1:23:35

Planaria [10]

21,612

173,667

05:41

13:52

1:20:40

  1. All approaches fit 100 models. Number of nodes and edges refer to the structure of the kNN graph as built by scanpy. Times are expressed in MM:SS