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 [aut, cre], Travis Gerke [aut] |
| 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 |