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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