A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes

<table>The changes of accuracy of the SVM classifier (a) and the changes of support vectors (b) over iterations in EDA-SVM, GA-SVM, and PMBGA based on DLBCL data set.</table>

The Scientific World Journal

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Figure 2

Figure 2: A Robust Hybrid Approach Based on Estimation of Distribution Algorithm and Support Vector Machine for Hunting Candidate Disease Genes 