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Table 1 Designation of training set and test set in our experiments

From: Finding minimum gene subsets with heuristic breadth-first search algorithm for robust tumor classification

Datasets

Usages

m*

n*

k

Platform

Prostate102

Tr**

102

12,600

2

Affy HU95A V2

Prostate34

Te**

34

12,626

2

Affy U95A

DLBCL77

Tr

77

7,129

2

Affy HU6800

DLBCL21

Te

21

12,581

2

Affy HU95AV2

Leukemia72

Tr

72

7,129

2

Affy HU6800

Leukemia52

Te

52

12,582

2

AffyHGU95a

Colon

Tr

42

2000

2

AffyHUM6000

Te

20

ALL

Tr

148

12626

6

Affy HGU95AV2

Te

100

SRBCT

Tr

63

2308

4

cDNA

 

Te

20

   
  1. * m denotes the number of sample in dataset. n denotes the number of genes, and k denotes the number of subclasses.
  2. **“Tr” denotes this dataset will be used as training set, while “Te” denotes this dataset will be used as test set.
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BMC Bioinformatics

ISSN: 1471-2105

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