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[feat] Add the option to create the light version of the ClustAssess shiny app.
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R/generics.R

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#'
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#' @description Creates the ClustAssess ShinyApp based on the output of the
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#' automatic ClustAssess pipeline. In addition to that, the expression matrix
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#' and the metadata dataframe are provided as input to the ShinyApp.
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#' and the metadata dataframe are provided as input to the ShinyApp. If the
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#' clustassess object is not provided, the function will create the light
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#' version of the ClustAssess ShinyApp, that will not contain the
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#' assessment results. For this case, the `metadata` parameter should contain
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#' two aditional columns named 'UMAP_1" and 'UMAP_2' that will correspond to
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#' the 2D embedding of the cells.
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#' @param object A Seurat object or an expression matrix
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#' @param clustassess_object The output of the ClustAssess automatic pipeline
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#' @param clustassess_object The output of the ClustAssess automatic pipeline.
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#' If the ClustAssess object is not provided (NULL), the function will create
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#' the light version of the ShinyApp, that will not contain the assessment
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#' results.
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#' @param project_folder The folder where the files will be written
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#' @param metadata The metadata dataframe. This parameter will be ignored if
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#' the object is a Seurat object.

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