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adding filter in O/P and min max in conv
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renu-pal committed Feb 10, 2025
1 parent e74fa15 commit 243f1fc
Showing 1 changed file with 6 additions and 2 deletions.
8 changes: 6 additions & 2 deletions tools/mmuphin/mmuphin.xml
Original file line number Diff line number Diff line change
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<section name="additional_options" title="Additional Options" expanded="true">
<param argument="zero_inflation" type="boolean" truevalue="zero_inflation TRUE" falsevalue="zero_inflation FALSE" checked="true" label="Run zero-inflated model"/>
<param argument="pseudo_count" type="float" optional="true" label="Pseudo_count" help="Pseudo count to add feature_abd before the methods' log transformation. Default to the half of the minimal non-zero values in feature_abd" />
<param argument="conv" type="float" value="0.0001" optional="true" label="Convergence threshold" help="Convergence threshold for the method's iterative algorithm for shrinking batch effect parameters. Suggested Minimum convergence value = 1e-6, maximum convergence value = 1e-3"/>
<param argument="conv" type="float" value="0.0001" min="0.000001" max="0.001" optional="true" label="Convergence threshold" help="Convergence threshold for the method's iterative algorithm for shrinking batch effect parameters."/>
<param argument="maxit" type="float" optional="true" value="1000" label="Maximum number of iterations" help="Maximum number of iterations allowed for the method's iterative algorithm. Default to 1000"/>
<param argument="verbose" type="hidden" truevalue="verbose TRUE" falsevalue="verbose FALSE" checked="true" label="Print verbose information"/>
<param argument="diagnostic_plot" type="boolean" truevalue="diagnostic_plot TRUE" falsevalue="diagnostic_plot FALSE" checked="true" label="Generate diagnostic figure file"/>
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<outputs>
<data name="output" format="tabular" label="Adjusted abundance table"/>
<data name="diagnostic_plot_output" format="pdf" label="diagnostic figure file"/>
<data name="diagnostic_plot_output" format="pdf" label="diagnostic figure file">
<filter>
additional_options['diagnostic_plot'] is True
</filter>
</data>
</outputs>

<tests>
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