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Table 4 Number of genes used in the classifiers for gene-expression datasets

From: Improving accuracy for cancer classification with a new algorithm for genes selection

Method

CNS

Colon

DLBCL

GCM

Leukemia

Lung

Prostate1

Prostate2

Prostate3

TSP*

2

2

2

2

2

2

2

2

2

k-TSP*

10

2

2

10

18

10

2

18

2

SVM/NB ‡

7129

2000

7129

16063

7129

12533

12600

12625

12626

PAM*

4

15

17

47

2296

9

47

13

701

Sumdiff/ mul/sign –PAM†

286

80

286

642

286

502

504

506

506

HBEÐ…

-

-

6

-

4

-

10

-

-

BBF-SVMÞ

-

20

5

-

-

-

13

-

-

Random forest (GeneSrF)

11

3

3

186

4

12

2

4

3

BMSF-SVM/NB/ LDA/QDAÏ’

3

7

6

32

3

8

8

11

2

  1. *Results obtained in Tan et al. [3]†Results obtained in Chopra et al. [12].
  2. ÞResults obtained in Zhang and Deng [10]ЅResults obtained in Dagliyan et al. [4]‡ Results obtained using all genes.
  3. Ï’Refers to each of the classifiers using our selected genes.