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>
Package details |
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Author | Timothy R. Koscik [aut, cre, cph] |
Maintainer | Timothy Koscik <timothy-koscik@uiowa.edu> |
License | Artistic-2.0 |
Version | 1.0.0 |
Package repository | View on GitHub |
Installation |
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