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Table 1 Gene Expression datasets

From: Clustering gene expression data with a penalized graph-based metric

Dataset

n

Classes

p

AML-ALL [2] (ALB)

38

3 (11-8-19)

999

Alizadeh [5] (ALI)

62

3 (42-9-11)

1000

Leukemia [57] (LEU)

248

6 (43-27-15-79-20-64)

985

Novartis Tissue [58] (BCLP)

103

4 (26-26-28-23)

1000

CNS Tumors [59] (CNS)

48

5 (10-8-10-10-4)

1000

Normal Tissue [60] (CGM)

90

13 (5-9-7-11-6-7-6-5-12-10-4-5-3)

1000

Thyroid tumor GEO [GSE3467] (THY)

18

2 (9-9)

1000

Yeast [20] (Y)

208

4 (41-121-35-11)

79

  1. Details on the eight gene expression datasets used in this work. We show the number of samples (n), variables (p) and the distribution of samples among the different classes.