<p>Performance of SVM based regression models on various input features on 163 natural peptide dataset.</p
<p>The score of the SVM model for the ASD-NEU data with all the 24 metabolites as input variables (A...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>The Performance of SVM Models on validation dataset with experimentally derived binding affinity ...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Performance of SVM models for different domain binding peptides (6-mer peptides for SH3 and WW an...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>The Performance of SVM Models on test dataset D5 (experimental binding affinities obtained from l...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
Performance of SVM models on NIPT prediction using different parameter setting.</p
<p>SVM model is tested by three different datasets, only genotype, only phenotype and integrated phe...
<p>AAC, Amino Acid Composition; DPC, Di Peptide Composition; N5AAC, Amino Acid Composition of 5 N-te...
<p>Results of the performance of various machine-learning techniques using 45 selected PaDEL descrip...
<p>Using binary patterns and AA (amino acid) composition [γ <b>(g)</b> (in RBF kernel), c: parameter...
<p>Performance of discrete amino acid and coupled amino acid composition based SVM models during FFC...
<p>Where TP, TN, FP, FN and MCC are True positive, True negative, False positive, False negative and...
<p>The score of the SVM model for the ASD-NEU data with all the 24 metabolites as input variables (A...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>The Performance of SVM Models on validation dataset with experimentally derived binding affinity ...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>Performance of SVM models for different domain binding peptides (6-mer peptides for SH3 and WW an...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
<p>The Performance of SVM Models on test dataset D5 (experimental binding affinities obtained from l...
<p><b>Sn:</b> Sensitivity; <b>Sp:</b> Specificity; <b>Acc:</b> Accuracy; <b>MCC:</b> Matthew’s Corre...
Performance of SVM models on NIPT prediction using different parameter setting.</p
<p>SVM model is tested by three different datasets, only genotype, only phenotype and integrated phe...
<p>AAC, Amino Acid Composition; DPC, Di Peptide Composition; N5AAC, Amino Acid Composition of 5 N-te...
<p>Results of the performance of various machine-learning techniques using 45 selected PaDEL descrip...
<p>Using binary patterns and AA (amino acid) composition [γ <b>(g)</b> (in RBF kernel), c: parameter...
<p>Performance of discrete amino acid and coupled amino acid composition based SVM models during FFC...
<p>Where TP, TN, FP, FN and MCC are True positive, True negative, False positive, False negative and...
<p>The score of the SVM model for the ASD-NEU data with all the 24 metabolites as input variables (A...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
<p>The Performance of SVM Models on validation dataset with experimentally derived binding affinity ...
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