comparison simtext_app.xml @ 2:d7b190591e63 draft default tip

"planemo upload for repository https://github.com/dlal-group/simtext commit fd3f5b7b0506fbc460f2a281f694cb57f1c90a3c-dirty"

1:429b1df6b7a9

          <param name="input" value="test_data" ftype="tabular"/>
          <param name="matrix" value="text_to_wordmatrix_output"/>
        </test>-->
    </tests>
    <help><![CDATA[

The tool enables the exploration of data generated by ‘text_to_wordmatrix’ or ‘pmids_to_pubtator_matrix’ tools in a Shiny local instance. The following features can be generated: 1) word clouds for each initial search query, 2) dimension reduction and hierarchical clustering of binary matrices, and 3) tables with words and their frequency in the search queries.

Input 1, a table with:
    - A column with initial search queries starting with "ID\_" (e.g., "ID_gene" if initial search queries were genes).
    - Column(s) with grouping factor(s) to compare pre-existing categories of the initial search queries with the grouping based on text. The column names should start with "GROUPING\_". If the column name is "GROUPING_disorder", "disorder" will be shown as a grouping variable in the app.
Input 2:
  The output of 'text_to_wordmatrix' or 'pmids_to_pubtator_matrix' tools, or a binary matrix.


        ]]></help>
    <expand macro="citations"/>
</tool>

2:d7b190591e63

          <param name="input" value="test_data" ftype="tabular"/>
          <param name="matrix" value="text_to_wordmatrix_output"/>
        </test>-->
    </tests>
    <help><![CDATA[
    The tool enables the exploration of data generated by ‘text_to_wordmatrix’ or ‘pmids_to_pubtator_matrix’ tools in a Shiny local instance. The following features can be generated: 1) word clouds for each initial search query, 2) dimension reduction and hierarchical clustering of binary matrices, and 3) tables with words and their frequency in the search queries.

    Input 1, a table with:
        - A column with initial search queries starting with "ID\_" (e.g., "ID_gene" if initial search queries were genes).
        - Column(s) with grouping factor(s) to compare pre-existing categories of the initial search queries with the grouping based on text. The column names should start with "GROUPING\_". If the column name is "GROUPING_disorder", "disorder" will be shown as a grouping variable in the app.
    Input 2:
      The output of 'text_to_wordmatrix' or 'pmids_to_pubtator_matrix' tools, or a binary matrix.]]>    
    </help>
    <expand macro="citations"/>
</tool>