Table 1 Comparison of Proposed Method Performance against Existing Methods on Publicly Available Datasets. As shown in the table, the proposed method achieves a high classification performance on all datasets tested. In particular, the performance is superior to that of the referenced method in 3/6 datasets and matches that of the referenced method in the remaining 3 datasets. The last column shows the ratio of genes selected by both ours and the cross reference method over the total number of gene-features in the cross reference method. Abbreviations: S2N: Signal to Noise, CC: Correlation Coefficient, NA: Neighborhood Analysis, FA: Factor Analysis, 2-tail T: 2-Tail Student test, ER: Expression Ratio, K-NN: K-Nearest Neighbors. *Outlier samples for this dataset were omitted from the classification in both the reference and our method.

From: Individualized markers optimize class prediction of microarray data