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Table 3 Proportion of well-classified patients with a high eccentricity (ratio = 10) in one group and a low eccentricity (ratio = 0.1) in the other group

From: Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data

 

DLBCL

Prostate

ALL

Leukaemia

PLS+DA

0.51(0.14)//12

0.97(0.06)//10

0.73(0.05)//10

0.97(0.03)//1

PCA+DA

0.49(0.09)//13

0.96(0.07)//9

0.57(0.08)//1

0.95(0.04)//5

BGA

0.43(0.10)

0.70(0.09)

0.60(0.06)

0.98(0.03)

  1. Mean (Standard deviation)//Median of the optimal number of components over fifty datasets simulated with dist = 2. PLS: Partial Least Squares – PCA: Principal Components Analysis – DA: Discriminant Analysis.
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BMC Bioinformatics

ISSN: 1471-2105

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