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Table 8 Statistically sound performance comparison for the prostate cancer dataset.

From: Novel methods to identify biologically relevant genes for leukemia and prostate cancer from gene expression profiles

Methods 25 genes 50 genes 75 genes 100 genes 125 genes 150 genes
SNR .86(.82 to .95) .86(.82 to .95) .85(.80 to .97) .86(.83 to .95) .83(.80 to .93) .84(.82 to .96)
t-Test .80(.67 to .94) .82(.66 to .92) .82(.67 to .90) .81(.67 to .93) .81(.68 to .93) .80(.69 to .95)
LSD .79(.65 to .94) .81(.63 to .93) .81(.62 to .95) .81(.64 to .95) .81(.67 to .94) .82(.64 to .93)
TNoM .65(.53 to .80) .65(.51 to .78) .63(.50 to .79) .65(.53 to .80) .65(.52 to .78) .63(.51 to .81)
MDMR .87(.76 to .95) .84(.75 to .97) .86(.76 to .98) .86(.75 to .97) .87(.78 to .95) .87(.74 to .98)
WEPO .56(.43 to .70) .57(.44 to .69) .67(.53 to .74) .70(.55 to .79) .68(.52 to .75) .73(.64 to .86)
RFGS .80(.65 to .91) .81(.68 to .92) .78(.63 to .91) .82(.68 to .92) .79(.65 to .90) .81(.67 to .92)
SVST .92(.85 to .95) .90(.83 to .96) .91(.84 to .95) .92(.87 to .94) .92(.82 to .95) .93(.81 to .97)