📄 routines.htm
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<span class="title_page">Matlab routines</span>
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<div id="tab_space_lateral"><a href="#sub_1" class="lnk_text">som_settings</a></div>
<div id="tab_space_lateral"><a href="#sub_3" class="lnk_text">model_multiway</a></div>
<div id="tab_space_lateral"><a href="#sub_5" class="lnk_text">pred_multiway</a></div>
<div id="tab_space_lateral"><a href="#sub_7" class="lnk_text">visualize_model</a></div>
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This is a list of the main MATLAB routines you can use to develop MOLMAP models<BR>
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<span class="title_paragraph">_ som_settings</span>
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default <a href="start.htm" class="lnk_text">setting structure</a>; som_settings build a default structure with all the parameter needed to
perform MOLMAP models<BR>
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<strong>settings = som_settings(type);</strong><BR>
<BR>type "help som_settings" on the MATLAB command window for further informations
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<span class="title_paragraph">_ model_multiway</span>
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model_multiway builds a <a href="molmap_modeling.htm" class="lnk_text">MOLMAP model</a> and calculates MOLMAP scores<br>
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model = model_multiway(X,settings);</strong><br>
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type "help model_multiway" on the MATLAB command window for further informations <BR>
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<span class="title_paragraph">_ pred_multiway</span>
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prediction of MOLMAP scores of unknown samples by means of <a href="molmap_modeling.htm" class="lnk_text">MOLMAP modeling</a>;
pred_multiway predicts scores of unknown samples by using a previuos model (model_multiway)<br>
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<strong>pred = pred_multiway(X,model);</strong><br>
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type "help pred_multiway" on the MATLAB command window for further informations<BR>
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<span class="title_paragraph">_ visualize_model</span>
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visualisation of the <a href="molmap_modeling.htm" class="lnk_text">MOLMAP modeling </a><a href="cpann.htm" class="lnk_text"></a> results;
visualize_model opens a GUI figure for exploring the results<br>
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<strong>visualize_model(model,label);</strong><br>
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type "help visualize_model" on the MATLAB command window for further informations<BR>
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