TKoscik/ez.combat: Easy ComBat Harmonization

A dataframe-friendly implementation of ComBat Harmonization which uses an empirical Bayesian framework to remove batch effects. Johnson WE & Li C (2007) "Adjusting batch effects in microarray expression data using empirical Bayes methods" <doi:10.1093/biostatistics/kxj037> Fortin J-P, Cullen N, Sheline YI, Taylor WD, Aselcioglu I, Cook PA, Adams P, Cooper C, Fava M, McGrath PJ, McInnes M, Phillips ML, Trivedi MH, Weissman MM, & Shinohara RT (2017) "Harmonization of cortical thickness measurements across scanners and sites" <doi:10.1016/j.neuroimage.2017.11.024> Fortin J-P, Parker D, Tunç B, Watanabe T, Elliott MA, Ruparel K, Roalf DR, Satterthwaite TD, Gur RC, Gur RE, Schultz RT, Verma R, & Shinohara RT (2017) "Harmonization of multi-site diffusion tensor imaging data" <doi:10.1016/j.neuroimage.2017.08.047>

Getting started

Package details

AuthorTimothy R. Koscik [aut, cre, cph]
MaintainerTimothy Koscik <timothy-koscik@uiowa.edu>
LicenseArtistic-2.0
Version1.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("TKoscik/ez.combat")
TKoscik/ez.combat documentation built on Jan. 6, 2023, 11:57 p.m.