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Two-Stage Logistic Regression for Cancer Classi cation and Prediction from Copy-Numbe Changes in cDNA Microarray-Based Comparative Genomic Hybridization

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Table 2.1. Clinical information of thirty patients for the 65 months follow-up study
Table 2.2. Classification rates validated with cross-validation
Figure 2.1. Scree plot for the proportions of variability explained by GASs(x- and y-axis represent factor number and eigen value for the proportion of variability explained by the corresponding factor.)
Table 2.3. Rotated GAS patterns for the 28 informative genes Gene Bank
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