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 <U+201C>true<U+201D> underlying differences in factors that drive biomarker values (confounders).
adjust_batch: Adjust for batch effects
diagnose_models: Model diagnostics after batch adjustment
plot_batch: Plot biomarkers by batch
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