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) <doi:10.1093/biostatistics/kxj037> "Adjusting batch effects in microarray expression data using empirical Bayes methods."
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) <doi:10.1016/j.neuroimage.2017.11.024> "Harmonization of cortical thickness measurements across scanners and sites."
Fortin J-P, Parker D, Tun<e7> B, Watanabe T, Elliott MA, Ruparel K, Roalf DR, Satterthwaite TD, Gur RC, Gur RE, Schultz RT, Verma R, & Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.08.047> "Harmonization of multi-site diffusion tensor imaging data."
Version: |
1.0.0 |
Depends: |
R (≥ 3.5.0) |
Imports: |
stats |
Published: |
2021-06-07 |
Author: |
Timothy R. Koscik [aut, cre, cph] |
Maintainer: |
Timothy Koscik <timothy-koscik at uiowa.edu> |
License: |
Artistic-2.0 |
NeedsCompilation: |
no |
Materials: |
README |
CRAN checks: |
ez.combat results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ez.combat
to link to this page.