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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