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 |
| 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 |