* Check extending iSEE at https://isee.github.io/iSEE-book/ for more details on the procedure to extend iSEE classes.
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* Produce barplots of the relative cell abundance between **conditions**, at the **pseudo-replicate** level and for each cluster/cell population separatly.
* The `Cluster`, `Pseudoreplicate` and `Condition` variables needs to be specify to initalize the app.
* In addition, if you are interested in only one part of your dataset (e.g. one genotype only), you can subset your inital data. To do so, you need to specify the `group` variable which contain the information about which cell belong to your sub-group of interest. In the app, you will be able to select which `level` of this `group` variable you would like to use to substract your dataset. If you do not want to subset your initial dataset, set `Group` to `None`.
* All variables need to be colnames of the colData of your `sce` object.
* Be aware that frequency are in percentage and that the scale is proper to each panel.
