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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)