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1 <tool id="linear_fascile_evaluation" name="Linear fascicle evaluation" version="0.13.0">
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2 <description>(LiFE) for tractography results</description>
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3 <requirements>
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4 <requirement type="package" version="0.13.0">dipy</requirement>
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5 </requirements>
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6 <command detect_errors="exit_code"><![CDATA[
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7 python '$__tool_directory__/linear_fascile_evaluation.py'
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8 --input '$input'
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9 --output_life_candidates '$output_life_candidates'
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10 --output_life_optimized '$output_life_optimized'
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11 --output_error_histograms '$output_error_histograms'
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12 --output_beta_histogram '$output_beta_histogram'
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13 --output_spatial_errors 'output_spatial_errors'
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14 &>/dev/null
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15 ]]></command>
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16 <inputs>
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17 <param name="input" format="trackvis" type="data" label="Track Visualization Header"/>
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18 </inputs>
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19 <outputs>
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20 <data name="output_spatial_errors" format="png" label="${tool.name}: Spatial Errors" />
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21 <data name="output_beta_histogram" format="png" label="${tool.name}: Beta Histogram" />
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22 <data name="output_error_histograms" format="png" label="${tool.name}: Error Histograms" />
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23 <data name="output_life_optimized" format="png" label="${tool.name}: LiFE Optimized Streamlines" />
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24 <data name="output_life_candidates" format="png" label="${tool.name}: LiFE Candidates" />
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25 </outputs>
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26 <tests>
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27 <test>
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28 </test>
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29 </tests>
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30 <help>
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31 **What it does**
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32
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33 Uses a forward model that predicts the signal from each of a set of streamlines, and fits a
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34 linear model to these simultaneous predictions for evaluation of tractography results.
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35
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36 -----
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37
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38 **Options**
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39
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40 </help>
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41 <citations>
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42 </citations>
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43 </tool>
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