Class prediction analysis using 12 genes derived from the 29 genes used for the initial analysis. The class prediction analysis after the removal of the Ig λ LC genes, which could artificially skew the accuracy of classification, resulted in an improvement in the observed accuracy rate to 92%. The disease category of 23 of the 24 patients with AL and 25 of the 28 patients with MM was accurately predicted. The y-axis shows the threshold value, with samples closer to 1 having the highest probability of being an AL or MM sample, respectively. The x-axis denotes each of the 24 AL and 28 MM samples. Circled symbols indicate patients that were misclassified by the shrunken centroids analysis.