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2- title : EuroBioC2025
2+ title : EuroBioC 2025
33vignette : >
4- %\VignetteIndexEntry{EuroBioC2025 }
4+ %\VignetteIndexEntry{EuroBioC 2025 }
55 %\VignetteEngine{knitr::rmarkdown}
66 %\VignetteEncoding{UTF-8}
77output :
@@ -510,25 +510,6 @@ healthy controls.
510510 [ ![ ] ( figures/OMA_ss.png ) {width=500px}] ( https://microbiome.github.io/OMA/docs/devel/ ) {preview-link="true"}
511511</p >
512512
513- #### Differential abundance analysis
514-
515- ``` {r}
516- #| label: calculate_daa
517- #| eval: false
518-
519- library(maaslin3)
520-
521- res <- maaslin3(tse, formula = ~ disease, output = "maaslin3_output")
522- ```
523-
524- ``` {r}
525- #| label: visualize_daa
526- #| eval: false
527-
528- file_path <- file.path("maaslin3_output", "figures", "summary_plot.png")
529- knitr::include_graphics(file_path)
530- ```
531-
532513## Questions, discussion and recap
533514
5345151 . Microbiome data science in ` r BiocStyle::Biocpkg("SummarizedExperiment") ` ecosystem
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