GSE159526 1.11.0
GSE159526We hope that GSE159526 will be useful for your research. Please use the following information to cite the package and the overall approach. Thank you!
## Citation info
citation("GSE159526")
#> To cite package 'GSE159526' in publications use:
#>
#> Yuan V, Hui D, Penaherrera M, Beristain A, Robinson W (2021).
#> "Cell-specific characterization of the placental methylome." _BMC
#> Genomics_. doi:10.1186/s12864-020-07186-6
#> <https://doi.org/10.1186/s12864-020-07186-6>,
#> <https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> title = {Cell-specific characterization of the placental methylome},
#> author = {Victor Yuan and Desmond Hui and Maria S. Penaherrera and Alexander G. Beristain and Wendy P. Robinson},
#> year = {2021},
#> journal = {BMC Genomics},
#> doi = {10.1186/s12864-020-07186-6},
#> url = {https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6},
#> }GSE159526There are 3 objects associated with GSE159526:
EH6130 - Raw DNA methylation data, .idat files read into r with minfi and
saved as an rgset object.
EH6131 - Processed filtered DNA methylation data. Described in (Yuan, Hui, Penaherrera, Beristain, and Robinson, 2021).
EH6132 - Sample information stored as a tibble/data.frame object.
eh <- ExperimentHub()
query(eh, "GSE159526")
# raw rgset
library(minfi)
GSE159526_rgset <- eh[['EH6130']] # requires minfi
# normalized processed data matrix
GSE159526_data <- eh[['EH6131']]
# sample information
GSE159526_pdat <- eh[['EH6132']]The GSE159526 package (Yuan, Hui, Penaherrera et al., 2021) was made possible thanks to:
This package was developed using biocthis.
Code for creating the vignette:
## Create the vignette
library("rmarkdown")
system.time(render(here::here("vignettes", "GSE159526.Rmd"),
"BiocStyle::html_document"))
## Extract the R code
library("knitr")
knit("GSE159526.Rmd", tangle = TRUE)Date the vignette was generated.
#> [1] "2024-10-27 21:56:52 EDT"Wallclock time spent generating the vignette.
#> Time difference of 0.687 secsR session information.
#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
#> setting value
#> version R Under development (unstable) (2024-10-21 r87258)
#> os Ubuntu 24.04.1 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language (EN)
#> collate C
#> ctype en_US.UTF-8
#> tz America/New_York
#> date 2024-10-27
#> pandoc 3.1.3 @ /usr/bin/ (via rmarkdown)
#>
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#> yaml 2.3.10 2024-07-26 [2] CRAN (R 4.5.0)
#>
#> [1] /tmp/Rtmp4PYe3m/Rinst1f27b91f4c90e3
#> [2] /home/biocbuild/bbs-3.21-bioc/R/site-library
#> [3] /home/biocbuild/bbs-3.21-bioc/R/library
#>
#> ──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────This vignette was generated using BiocStyle (Oleś, 2024) with knitr (Xie, 2024) and rmarkdown (Allaire, Xie, Dervieux et al., 2024) running behind the scenes.
Citations made with RefManageR (McLean, 2017).
[1] J. Allaire, Y. Xie, C. Dervieux, et al. rmarkdown: Dynamic Documents for R. R package version 2.28. 2024. URL: https://github.com/rstudio/rmarkdown.
[2] M. W. McLean. “RefManageR: Import and Manage BibTeX and BibLaTeX References in R”. In: The Journal of Open Source Software (2017). DOI: 10.21105/joss.00338.
[3] A. Oleś. BiocStyle: Standard styles for vignettes and other Bioconductor documents. R package version 2.33.1. 2024. DOI: 10.18129/B9.bioc.BiocStyle. URL: https://bioconductor.org/packages/BiocStyle.
[4] R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna, Austria, 2024. URL: https://www.R-project.org/.
[5] H. Wickham. “testthat: Get Started with Testing”. In: The R Journal 3 (2011), pp. 5–10. URL: https://journal.r-project.org/archive/2011-1/RJournal_2011-1_Wickham.pdf.
[6] H. Wickham, W. Chang, R. Flight, et al. sessioninfo: R Session Information. R package version 1.2.2. 2021. DOI: 10.32614/CRAN.package.sessioninfo. URL: https://CRAN.R-project.org/package=sessioninfo.
[7] Y. Xie. knitr: A General-Purpose Package for Dynamic Report Generation in R. R package version 1.48. 2024. URL: https://yihui.org/knitr/.
[8] V. Yuan, D. Hui, M. Penaherrera, et al. “Cell-specific characterization of the placental methylome”. In: BMC Genomics (2021). DOI: 10.1186/s12864-020-07186-6. URL: https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-020-07186-6.