Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model

<div>The ROC curves of the four scenarios of classification of psoriasis patients using (a) SVM with 54,657 features, (b) GA+SVM with 27,265 features, (c) SVM with 445 features, and (d) GA+SVM with 181 features.</div>

BioMed Research International

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Figure 3: Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model 

Figure 3 | Application of Genetic Algorithm-Based Support Vector Machine in Identification of Gene Expression Signatures for Psoriasis Classification: A Hybrid Model 