Knitting Glimma plots in Rmd files with the BiocStyle::html_document output (BiocStyle_2.25.0) do not appear and shows a blank space. However, if you remove "BiocStyle::" and use html_document, the interactive plot renders successfully and embeds/appears as expected.

For example, I followed a demonstration similar to the posted Glimma guide:

---
title: "Example: Issues rendering Glimma plots"
output:
  BiocStyle::html_document:
    toc: true
    toc_float:
      collapsed: true
      smooth_scroll: true
vignette: |
  %\VignetteIndexEntry{Example: Issues rendering Glimma plots}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}
---

# Glimma plots do not embed with BiocStyle
```{r}
#Packages needed
if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install(c("Glimma", "limma", "edgeR", "BiocStyle"))

library(Glimma)
library(limma)
library(edgeR)


#Load and read in example RNAseq123 data from wd()
#https://github.com/hasaru-k/GlimmaV2/blob/master/inst/RNAseq123/dge.rds
dge <- readRDS("dge.rds")
```

## MDS Plot
```{r}
glimmaMDS(dge)
```

# Session info {.unnumbered}

```{r sessionInfo, echo=FALSE}
sessionInfo()
```

I tried updating all my package versions and using render(x, BiocStyle::html_document()), fig.show='asis', and results='asis' to process it, but no luck. I love the BiocStyle formatting aesthetics and want to preserve them, but want to avoid messing with the BiocStyle source code manually (if possible). Any suggestions?

Thank you!

Here is my sessioninfo:

R version 4.2.0 (2022-04-22 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.utf8  LC_CTYPE=English_United States.utf8   
[3] LC_MONETARY=English_United States.utf8 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.utf8    

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
[1] edgeR_3.39.3        limma_3.53.4        Glimma_2.7.0        BiocManager_1.30.18

loaded via a namespace (and not attached):
 [1] MatrixGenerics_1.9.1        Biobase_2.57.1              httr_1.4.3                  jsonlite_1.8.0             
 [5] bit64_4.0.5                 splines_4.2.0               assertthat_0.2.1            stats4_4.2.0               
 [9] blob_1.2.3                  GenomeInfoDbData_1.2.8      yaml_2.3.5                  pillar_1.8.0               
[13] RSQLite_2.2.15              lattice_0.20-45             glue_1.6.2                  digest_0.6.29              
[17] GenomicRanges_1.49.0        RColorBrewer_1.1-3          XVector_0.37.0              colorspace_2.0-3           
[21] htmltools_0.5.3             Matrix_1.4-1                DESeq2_1.37.4               XML_3.99-0.10              
[25] pkgconfig_2.0.3             genefilter_1.79.0           zlibbioc_1.43.0             purrr_0.3.4                
[29] xtable_1.8-4                scales_1.2.0                BiocParallel_1.31.10        tibble_3.1.7               
[33] annotate_1.75.0             KEGGREST_1.37.3             generics_0.1.3              IRanges_2.31.0             
[37] ggplot2_3.3.6               ellipsis_0.3.2              cachem_1.0.6                SummarizedExperiment_1.27.1
[41] BiocGenerics_0.43.0         cli_3.3.0                   survival_3.3-1              magrittr_2.0.3             
[45] crayon_1.5.1                memoise_2.0.1               fansi_1.0.3                 tools_4.2.0                
[49] lifecycle_1.0.1             matrixStats_0.62.0          S4Vectors_0.35.1            locfit_1.5-9.6             
[53] munsell_0.5.0               DelayedArray_0.23.0         AnnotationDbi_1.59.1        Biostrings_2.65.1          
[57] compiler_4.2.0              GenomeInfoDb_1.33.3         rlang_1.0.4                 grid_4.2.0                 
[61] RCurl_1.98-1.7              rstudioapi_0.13             htmlwidgets_1.5.4           bitops_1.0-7               
[65] gtable_0.3.0                codetools_0.2-18            DBI_1.1.3                   R6_2.5.1                   
[69] knitr_1.39                  dplyr_1.0.9                 fastmap_1.1.0               bit_4.0.4                  
[73] utf8_1.2.2                  parallel_4.2.0              Rcpp_1.0.9                  vctrs_0.4.1                
[77] geneplotter_1.75.0          png_0.1-7                   tidyselect_1.1.2            xfun_0.31   

```

I have no suggestions for getting BiocStyle to work with the interactive plots from Glimma - it doesn't work for me either. I tend to use bookdown instead, with this in my yaml

output:
   bookdown::html_document2:
    df_print: kable
    toc: true
    toc_float: true

Which seems to work OK. The authors of Glimma use rmarkdown:html_vignette in their yaml

title: "Introduction using limma or edgeR"
output: rmarkdown::html_vignette
vignette: >
  %\VignetteIndexEntry{Introduction using limma or edgeR}
  %\VignetteEngine{knitr::rmarkdown}
  %\VignetteEncoding{UTF-8}

Which obviously works as well.