Open jkc9886 opened 2 months ago
It's an interesting idea. I am not sure if we have tested it with the book yet. You could first try to have it as a "hidden" chapter (not linked to the table of contents but otherwise available via direct URL)? We could then see if it can be included, and if yes, how to best organize.
@AxelDgn and @Insaynoah have recently added interactive tables with other methods, they might be able to provide some support but that is best taking place via online chat (e.g. Slack)
Sure, the hidden chapter would be a good place to start with. I shall work on that and also reach out to the mentioned people via Slack for help :)) Thank you.
@jkc9886 what's the status of this one?
@jkc9886 what's the status of this one?
This is under progress, not finalised yet. Shall keep everyone updated about it through this issue.
We can discuss if this is needed but depends also how far it alredy is
Hello, a newbie summer intern here, wanted some advice!!
While I was making some grammatical and technical edits to the differential data analysis(DAA) chapter, I was wondering how it will be like to add an interactive table to the part on comparing different DAA tools ?
If I were to add it (I did the following homework about it), I am unsure if it could be added and would appreciate suggestions and opinions. Also one thing is since deployment is involved, if we add it, this has to be an entire new section in the OMA book. Please suggest if it could be added to the chapter itself in any way?
Also, feel free to build this locally and check if the table would be worthy?
`--- title: "Differential Abundance Analysis" output: html_document runtime: shiny
Interactive Comparison of Differential Abundance Analysis Methods
This section includes an interactive tool for comparing the results of different Differential Abundance Analysis (DAA) methods, such as ALDEx2, ANCOM-BC, and MaAsLin2. By selecting different methods, you can visualize and compare the differentially abundant taxa identified by each, along with their p-values and effect sizes.
Use the checkboxes to choose the methods you want to compare and observe how the results align or differ across these methods. This hands-on feature enhances your understanding of each method's strengths and limitations in microbiome data analysis.