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scDataviz: single cell dataviz and downstream analyses

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Hi, I got waring when running tutorial. ``` ggout1 --input data class is SingleCellExperiment Warning message: The `` argument of `guides()` cannot be `FALSE`. Use "none" instead as of ggplot2...

I am opening this issue as a notification because `scDataviz` is listed [here](https://cran.r-project.org/web/packages/Seurat/index.html) as a package that relies (depends/imports/suggests) on Seurat. As you may know, we recently released Seurat v5...

I'm having an issue with the contourPlot function. I'm using an sce generated in CATALYST containing 60 fcs files from a cytof run. contourPlot(sce) --input data class is SingleCellExperiment Error...

could you help me to see why I have so many markers in each cluster? > mm=markerEnrichment(sce, + method = 'quantile',sampleID = "injected.samples", + studyvarID = 'injected.samples') --input data class...