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Table 1 Overview of the metadata for the 8 real-world datasets (after outlier removal)

From: Dictionary learning allows model-free pseudotime estimation of transcriptomic data

Database-ID

Database

Datatype

Organism

Samples

Reads/Genes

Time points

Metadata variables

GSE122380

GEO

scRNA-seq

Homo sapiens

294

16,237

16

-

E-MTAB-2565

ArrayExpress

Microarray

Arabidopsis thaliana

71

20,361

18

-

GSE100425

GEO

RNA-seq

Mus musculus

120

19,715

7

6

GSE129486

GEO

RNA-seq

Homo sapiens

174

30,566

9

6

GSE84712

GEO

scRNA-seq

Homo sapiens

78

18,255

27

2

GSE87375

GEO

scRNA-seq

Mus musculus

912

22,027

7

8

GSE92652

GEO

RNA-seq

Homo sapiens

92

46,378

6

5

E-MTAB-6811

ArrayExpress

Microarray

Rattus norvegicus

359

27,330

16

4

  1. The first two datasets are those without subtypes