Table 1

Kernel method, sigma = 0.5 and 0.7, threshold, p = 0.35, adjustment, e = 0.00 and 0.05

Data set

Sigma

Adjustment (e)

CP (%)

Error in CP (%)

Total Error (%)


Leukemia

0.5

0

36 (50.0%)

0 (0%)

3 (4.17%)


0.05

25 (34.7%)

0 (0%)

3 (4.17%)


0.7

0

43 (59.7%)

0 (0%)

3 (4.17%)


0.05

36 (50.0%)

0 (0%)

3 (4.17%)


Prostate

0.5

0

32 (36.4%)

4 (12.5%)

21 (23.9%)


0.05

30 (34.1%)

3 (10.0%)

21 (23.9%)


0.7

0

34 (38.6%)

4 (11.8%)

22 (25.0%)


0.05

25 (28.4%)

2 (8.00%)

22 (25.0%)


GCM

0.5

0

154 (55.0%)

6 (3.90%)

39 (13.9%)


0.05

134 (47.9%)

3 (2.24%)

39 (13.9%)


0.7

0

160 (57.1%)

6 (3.75%)

42 (15.0%)


0.05

134 (47.9%)

5 (3.73%)

42 (15.0%)


Jones et al. BMC Medical Genomics 2011 4:10   doi:10.1186/1755-8794-4-10

Open Data