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Table 3 ASI Classification of Leukemia Samples using the DEGs

From: A unified framework for finding differentially expressed genes from microarray experiments

Gene Selection Method Samples t-statistics SAM Adaptive Ranking Combined Adaptive Ranking Two-way Clustering Unified Ranking
Training 38 33 35 36 36 38 38
Testing 34 25 28 29 30 30 33
  1. Samples, The total number of samples for training and testing; Other Columns, Number of samples classified correctly by individual methods; Example, number of training samples classified correctly by using t-statistics is 33 out of 38; The same procedure is followed for other columns of table 3 and for the tables 5, 7, 9 and 11.
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