Different adjustment methods for batch effects in biomarker data, such as from tissue microarrays. Some methods attempt to retain differences between batches that may be due to between-batch differences in "biological" factors that influence biomarker values.
Version: | 0.1.6 |
Imports: | broom (≥ 0.7.0), dplyr (≥ 1.0.0), geepack, ggplot2, limma, nnet, purrr (≥ 0.3.0), quantreg, rlang (≥ 0.4.0), stringr, tibble, tidyr (≥ 1.1.0), magrittr |
Suggests: | knitr, rmarkdown, tidyverse |
Published: | 2021-12-06 |
DOI: | 10.32614/CRAN.package.batchtma |
Author: | Konrad Stopsack |
Maintainer: | Konrad Stopsack <stopsack at post.harvard.edu> |
License: | GPL-3 |
URL: | https://stopsack.github.io/batchtma/, https://github.com/stopsack/batchtma |
NeedsCompilation: | no |
CRAN checks: | batchtma results |
Reference manual: | batchtma.pdf |
Vignettes: |
Get Started: Methods to address batch effects |
Package source: | batchtma_0.1.6.tar.gz |
Windows binaries: | r-devel: batchtma_0.1.6.zip, r-release: batchtma_0.1.6.zip, r-oldrel: batchtma_0.1.6.zip |
macOS binaries: | r-devel (arm64): batchtma_0.1.6.tgz, r-release (arm64): batchtma_0.1.6.tgz, r-oldrel (arm64): batchtma_0.1.6.tgz, r-devel (x86_64): batchtma_0.1.6.tgz, r-release (x86_64): batchtma_0.1.6.tgz, r-oldrel (x86_64): batchtma_0.1.6.tgz |
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