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. 2013 Feb 19;8(2):e56833. doi: 10.1371/journal.pone.0056833

Figure 3. HybSVM method.

Figure 3

HybSVM is a two-stage machine learning method. The first step of the algorithm is to convert sequence data into a composition-based data representation (monomer, dimer, trimer, and tetramer). These four new data representations are used as inputs to 7 machine learning algorithms based on the NB(k) and NB k-gram approaches (Stage 1). An eighth method based on PSI-BLAST is applied to the original sequence data. The outputs of each of the eight outputs are converted into a binary vector of length 8. The resulting vector is used as input to a SVM to produce the final output (Stage 2).