Data Analysis and Classification of Autism Spectrum Disorder Using Principal Component Analysis

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Data set</td><td class="align_center">ASD</td><td class="align_center">Without ASD</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Adults (male : female)</td><td class="align_center">30 (15 : 15)</td><td class="align_center">36 (17 : 19)</td></tr><tr><td class="align_left">Childern (male : female)</td><td class="align_center">14 (9 : 5)</td><td class="align_center">22 (12 : 10)</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Data set in two groups (adults and children).</div>

Advances in Bioinformatics

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Table 1

Table 1: Data Analysis and Classification of Autism Spectrum Disorder Using Principal Component Analysis 