SiLeBAT/FSK-Lab

<?xml version="1.0" encoding="utf-8"?>
<!--
  PMM-Lab © 2012-2014, Federal Institute for Risk Assessment (BfR), Germany
  
  PMM-Lab is a set of KNIME-Nodes and KNIME workflows running within the KNIME software plattform (http://www.knime.org.).
  
  PMM-Lab © 2012-2014, Federal Institute for Risk Assessment (BfR), Germany
  Contact: armin.weiser@bfr.bund.de or matthias.filter@bfr.bund.de 
  
  Developers and contributors to the PMM-Lab project are 
  Christian Thöns (BfR)
  Matthias Filter (BfR)
  Armin A. Weiser (BfR)
  Alexander Falenski (BfR)
  Jörgen Brandt (BfR)
  Annemarie Käsbohrer (BfR)
  Bernd Appel (BfR)
  
  PMM-Lab is a project under development. Contributions are welcome.
  
  
  This program is free software: you can redistribute it and/or modify
  it under the terms of the GNU General Public License as published by
  the Free Software Foundation, either version 3 of the License, or
  (at your option) any later version.
  
  This program is distributed in the hope that it will be useful,
  but WITHOUT ANY WARRANTY; without even the implied warranty of
  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
  GNU General Public License for more details.
  
  You should have received a copy of the GNU General Public License
  along with this program.  If not, see <http://www.gnu.org/licenses/>.
-->
<!DOCTYPE knimeNode PUBLIC "-//UNIKN//DTD KNIME Node 2.0//EN" "http://www.knime.org/Node.dtd">
<knimeNode icon="./FittedModelReader.png" type="Source">
    <name>Model Reader</name>
    
    <shortDescription>
        Loads estimated primary or secondary models from the internal database
    </shortDescription>
    
    <fullDescription>
        <intro>Loads primary or secondary models together with previously estimated parameter values from the internal database.</intro>
                
        <option name="Level">Filter for primary or secondary model formulas. Primary model formulas can be further filtered according to the '<u>Type</u>' (e.g. growth models).</option>
        <option name="Model">Check the box 'Filter by formula' and choose one or more models by clicking the listed names. If the above mentioned filter options were used the list is already reduced.</option>
        <option name="Estimation quality">Filter estimated models either by RMS or by R<sup>2</sup> by entering a value into the textbox.</option>
        <option name="MD Filter">To filter for models estimated for specific organisms (e.g. '<i>E. coli</i> ') or matrices (e.g. 'beef') type an organism or matrix name into one of the text boxes or tick the [...] button to choose entries from the internal database. Now either press 'OK' and execute the node or press 'Select Models'. The latter option allows to view estimated models in a graph as well as in a table. Here, entries can be sorted for quality parameters or environmental conditions. All ticked entries will be in the outport after execution of the node.</option>
    </fullDescription>
    
    <ports>
        <outPort index="0" name="Models">Imported models</outPort>
    </ports>    
</knimeNode>