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Table 2 Summary of cross validation results. All 14 tumor types and their abbreviations are listed in the first column. The sample sizes for each tumor type and the number of successfully classified samples by the SVM algorithm (from ref. [19]), the NB (Naive Bayes) algorithm with cutoff σ2 = 0.06 and the NN (Nearest Neighbor) algorithm with σ2 = 0.05 are listed.

From: SED, a normalization free method for DNA microarray data analysis

Tumor type (Abbreviation)

Sample Size

SVM [19]

NB

NN

Ovary (OV)

8

3

1

4

Lung (LU)

8

4

1

3

Bladder (BL)

8

5

7

5

Melanoma (ML)

8

5

6

6

Renal (RE)

8

5

5

6

Pancreas (PA)

8

5

6

6

Colorectal (CR)

8

6

1

3

Prostate (PR)

8

6

6

6

Breast (BR)

8

7

3

4

Uterus (UT)

8

7

6

6

Mesothelioma (ME)

8

8

6

6

Lymphoma (LY)

16

16

14

16

Central Nervous System (CNS)

16

16

16

16

Leukemia (LE)

24

24

23

24