<p>Where TP, TN, FP, FN and MCC are True positive, True negative, False positive, False negative and Matthews correlation coefficient respectively.</p><p>Values in parenthesis are the values at which maximum MCC was found at respective column.</p
<p>The classification scores assigned by the SVM based on the 251-gene signature to classify active ...
<p>Classification accuracy of SVM algorithm trained on topology indices of parenclictic networks, al...
<p>D: dimensionality; AUC: area under ROC curve; Spe: specificity; Pre: precision; Sen: sensitivity;...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Performances of SVM using amino acid composition (AAC) and <i>p-</i>collocated AA pairs.</p
<p>Performance of discrete amino acid and coupled amino acid composition based SVM models during FFC...
<p>AAC, Amino Acid Composition; DPC, Di Peptide Composition; N5AAC, Amino Acid Composition of 5 N-te...
<p>Performance of SVM based regression models on various input features on 163 natural peptide datas...
<p>Footnotes: BPP- Binary profile of patterns, CPP- Composition profile of patterns, PPP- PSSM profi...
<p>The performance of FG-Nups disordered protein classification in a 10xFold cross-validation using ...
<p>Only the most frequent amino acid in the database are reported. In (a) are the results for SVM, i...
<p>Using binary patterns and AA (amino acid) composition [γ <b>(g)</b> (in RBF kernel), c: parameter...
<p>The point where sensitivity and specificity is roughly equal is highlighted in bold. The point of...
<p>Performance of SVM models for different domain binding peptides (6-mer peptides for SH3 and WW an...
<p>The classification scores assigned by the SVM based on the 251-gene signature to classify active ...
<p>Classification accuracy of SVM algorithm trained on topology indices of parenclictic networks, al...
<p>D: dimensionality; AUC: area under ROC curve; Spe: specificity; Pre: precision; Sen: sensitivity;...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Performances of SVM using amino acid composition (AAC) and <i>p-</i>collocated AA pairs.</p
<p>Performance of discrete amino acid and coupled amino acid composition based SVM models during FFC...
<p>AAC, Amino Acid Composition; DPC, Di Peptide Composition; N5AAC, Amino Acid Composition of 5 N-te...
<p>Performance of SVM based regression models on various input features on 163 natural peptide datas...
<p>Footnotes: BPP- Binary profile of patterns, CPP- Composition profile of patterns, PPP- PSSM profi...
<p>The performance of FG-Nups disordered protein classification in a 10xFold cross-validation using ...
<p>Only the most frequent amino acid in the database are reported. In (a) are the results for SVM, i...
<p>Using binary patterns and AA (amino acid) composition [γ <b>(g)</b> (in RBF kernel), c: parameter...
<p>The point where sensitivity and specificity is roughly equal is highlighted in bold. The point of...
<p>Performance of SVM models for different domain binding peptides (6-mer peptides for SH3 and WW an...
<p>The classification scores assigned by the SVM based on the 251-gene signature to classify active ...
<p>Classification accuracy of SVM algorithm trained on topology indices of parenclictic networks, al...
<p>D: dimensionality; AUC: area under ROC curve; Spe: specificity; Pre: precision; Sen: sensitivity;...
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