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Table 3 Number of genes for training and success rates of LDA

From: A computational approach to candidate gene prioritization for X-linked mental retardation using annotation-based binary filtering and motif-based linear discriminatory analysis

Set Analyzed

Parameter

10 kb (Genes)

50 kb (Genes)

100 kb (Genes)

Training and test set of genes in XAR

Ï„

0.96

0.43

0.4

 

Success in XLMR

100% (19)

100% (15)

100% (9)

 

Success in non-XLMR

45% (84)

91% (40)

96% (26)

Training and test set of genes in XCR

Ï„

0.87

0.75

0.62

 

Success in XLMR

87% (38)

100% (16)

100% (7)

 

Success in non-XLMR

52% (257)

82% (141)

96% (74)

  1. Ï„ is a tuning parameter, which was selected to maximize the sum of correct classification rates for XLMR and non-XLMR sets