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. 2006 Sep 8;2(9):e118. doi: 10.1371/journal.pcbi.0020118

Figure 2. The Correlation Matrix for the Features Used by the Classification Algorithms.

Figure 2

The half-matrix below the diagonal was derived from analysis of the whole GeneWays 6.0 database; the half-matrix above the diagonal represents a correlation matrix estimated from only the manually annotated dataset. The white dotted lines outline clusters of features, suggested by analysis of the annotated dataset; we used these clusters in implementation of the Clustered Bayes classifier. We used two versions of the Clustered Bayes classifier: with all 68 features (Clustered Bayes 68), and with a subset of only 44 features but a higher number of discrete values allowed for nonbinary features (Clustered Bayes 44). The Clustered Bayes 44 classifier did not use features 1, 6, 7, 8, 9, 12, 27, 28, 31, 34, 37, 40, 42, 47, 48, 49, 52, 54, 55, 60, 62, 63, and 65.