Figure 5. Prediction analysis of microarrays (PAM) applied to the data set of clinical samples and representative cell lines. Misclassification errors were determined by using 10-fold cross-validation, as described previously.12 (A) Misclassification error of the expression signatures (shrunken centroids) as a function of the number of genes used in the classifier. (B) Misclassification error of the expression signatures (shrunken centroids) for each of 3 subtypes of ALL as a function of the number of genes used in the classifier. (C) Expression signatures (shrunken centroids) for the 3 different subtypes using a threshold = 3.0 (270 clones representing 235 genes).
Figure 5.

Prediction analysis of microarrays (PAM) applied to the data set of clinical samples and representative cell lines. Misclassification errors were determined by using 10-fold cross-validation, as described previously.12  (A) Misclassification error of the expression signatures (shrunken centroids) as a function of the number of genes used in the classifier. (B) Misclassification error of the expression signatures (shrunken centroids) for each of 3 subtypes of ALL as a function of the number of genes used in the classifier. (C) Expression signatures (shrunken centroids) for the 3 different subtypes using a threshold = 3.0 (270 clones representing 235 genes).

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