| batchtma {batchtma} | R Documentation |
batchtma: Methods to address batch effects
Description
The goal of the batchtma is to provide functions for batch effect-adjusting biomarker data. It implements different methods that address batch effects while retaining differences between batches that may be due to “true” underlying differences in factors that drive biomarker values (confounders).
Functions
adjust_batch: Adjust for batch effects
diagnose_models: Model diagnostics after batch adjustment
plot_batch: Plot biomarkers by batch
References
Stopsack KH, Tyekucheva S, Wang M, Gerke TA, Vaselkiv JB, Penney KL, Kantoff PW, Finn SP, Fiorentino M, Loda M, Lotan TL, Parmigiani G+, Mucci LA+ (+ equal contribution). Extent, impact, and mitigation of batch effects in tumor biomarker studies using tissue microarrays. bioRxiv 2021.06.29.450369; doi: https://doi.org/10.1101/2021.06.29.450369
See Also
https://stopsack.github.io/batchtma/