<i>β</i>Lact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Predictor/identifier</td><td class="align_center" colspan="5">Precision metrics</td></tr><tr class="thead"><td class="align_center">Acc (%)</td><td class="align_center">Sp (%)</td><td class="align_center">Sn (%)</td><td class="align_center">MCC</td><td class="align_center">AUC</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><i>β</i>Lact-Pred</td><td class="align_center">99.76</td><td class="align_center">99.76</td><td class="align_center">99.76</td><td class="align_center">0.99</td><td class="align_center">0.99</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance analysis of self-consistency for <i>β</i>Lact-Pred.</div>

Computational Intelligence and Neuroscience

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Table 1

Table 1: <i>β</i>Lact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule 

Computational Intelligence and Neuroscience

βLact-Pred: A Predictor Developed for Identification of Beta-Lactamases Using Statistical Moments and PseAAC via 5-Step Rule

Table 1