In this study, we first propose a support vector machine (SVM)-based method to predict peroxidase subcellular localization.  Various Chou' pseudo amino acid descriptors and gene ontology (GO)-homology patterns were selected as input features to multiclass SVM. 
SVM
In this study, we first propose a support vector machine (SVM)-based method to predict peroxidase subcellular localization.  Various Chou' pseudo amino acid descriptors and gene ontology (GO)-homology patterns were selected as input features to multiclass SVM. 
SVM
In this study, we first propose a support vector machine (SVM)-based method to predict peroxidase subcellular localization.  Various Chou' pseudo amino acid descriptors and gene ontology (GO)-homology patterns were selected as input features to multiclass SVM. 
SVM