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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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BMC Bioinformatics

ISSN: 1471-2105

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