Proposing a highly accurate protein structural class predictor using segmentation-based features.
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...…about the statistical significance of our achieved results, we will report Sensitivity, Specificity, and Matthew's Correlation Coefficient (MCC) for each subcellular location as well as for the overall benchmark (Hu et al., 2012; Yu et al., 2013; Dehzangi et al., 2014b; Marcin et al., 2012)....
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...These feature groups have attained promising results in similar studies (Dehzangi et al., 2014a, 2013b, 2013c, 2014b)....
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...They have mainly tried to extract this local information using the protein sequence as a single block which has failed to achieve this goal (Nanni et al., 2013b, 2013a; Dehzangi et al., 2014a)....
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...It was shown in the literature that using these numbers produce similar output as using the probability values (Dehzangi et al., 2014a, 2014b)....
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...Despite its simplicity, the occurrence feature group has shown its effectiveness in maintaining global discriminatory information with respect to the length of a protein sequence (Dehzangi et al., 2013a; Taguchi and Gromiha, 2007; Dehzangi et al., 2014b)....
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