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Table 1 Description of scRNA-seq datasets

From: Contrastive self-supervised clustering of scRNA-seq data

 

Dataset name

Size (cells × genes)

Number of clusters

Cluster sizes

1

Quake Smart seq2 Trachea

1350 × 23,341

4

(830, 206, 201, 113)

2

Quake10 × Bladder

2500 × 23,341

4

(1203, 1167, 73, 57)

3

Quake10 ×  Spleen

9552 × 23,341

5

(6886, 1930, 464, 230, 42)

4

Quake Smart seq2 Diaphragm

870 × 23,341

5

(439, 241, 81, 78, 31)

5

Quake10 ×  Limb Muscle

3909 × 23,341

6

(1330, 1136, 461, 354, 320, 308)

6

Quake Smart seq2 Limb Muscle

1090 × 23,341

6

(540, 258, 141, 71, 45, 35)

7

Romanov

2881 × 21,143

7

(1001, 898, 356, 267, 240, 71, 48)

8

Adam

3660 × 23,797

8

(629, 617, 516, 513, 463, 396, 302, 224)

9

Muraro

2122 × 19,046

9

(812, 448, 245, 219, 193, 101, 80, 21, 3)

10

Young

5685 × 33,658

11

(1498, 1201, 731, 621, 483, 373, 268, 259, 118, 73, 60)

11

Quake Smart seq2 Lung

1676 × 23,341

11

(693, 423, 113, 90, 85, 65, 57, 53, 37, 35, 25)

12

10 PBMC

4271 × 16,653

8

(1292, 702, 606, 459, 450, 332, 295, 135)

13

Mouse ES cells

2717 × 24,175

4

(933, 798, 683, 303)

14

Worm neuron cell

4186 × 13,488

10

(1015, 842, 443, 400, 334, 314, 305, 239, 224, 70)

15

Mouse bladder cell

2746 × 20,670

16

(717, 357, 344, 316, 236, 224, 131, 80, 75, 64, 44, 41, 38, 36, 30, 13)

  1. The datasets made available in scziDesk have been combined with those in scDeepClusters to create a wider benchmark of 15 datasets