Table 5 Comparison of performance of similar techniques
Method (Classifier) | Number of genes | Accuracy |
|---|---|---|
PCA, MLP, Neural Network [1] | 96 | 100% |
Nearest Shrunken Centroid [21] | 43 | 100% |
Information gain + SVM [26] | 150 | 95% |
Towing rule + SVM [26] | 150 | 95% |
Sum minority + SVM [26] | 150 | 95% |
Max minority + SVM [26] | 150 | 91% |
Gini index + SVM [26] | 150 | 95% |
Sum of variances + SVM [26] | 150 | 95% |
t-statistics + SVM [26] | 150 | 95% |
One-dimensional SVM + SVM [26] | 150 | 95% |
Information gain + LDA with NCC [20] | 4 | 70% |
Chi-squared + NNC [20] | 4 | 70% |
Gain Ratio + NNC [20] | 4 | 85% |
Gene masking + ANN [22] | 13 | 100% |
Gene masking + NCC (this paper) | 650 | 100% |
Gene masking + NSCC (this paper) | 13 | 100% |