MultiBaC R package repository
This repository contains the
R package now hosted on
and our current
GitHub version. A comprehensive user's guide can be found at http://www.bioconductor.org/packages/release/bioc/vignettes/MultiBaC/inst/doc/MultiBaC.html
(Mac OS Users Only:) Ensure you have installed XQuartz first.
Make sure you have the latest R version and the latest
package installed following these
instructions (if you use legacy
R versions (<=3.5.0) refer to the instructions at the end of the
## install BiocManager if not installed if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") ## ensure the following returns TRUE, or follow guidelines BiocManager::valid()
Latest Bioconductor Release
You can then install
MultiBaC using the following
## install MultiBaC BiocManager::install('MultiBaC')
MultiBaC can be also directly installed from this repository:
Bug reports and pull requests
To report a bug (or offer a solution for a bug!): https://github.com/ConesaLab/MultiBaC/issues. We fully welcome and appreciate well-formatted and detailed pull requests. Preferrably with tests on our datasets.
 Ugidos, M., Tarazona, S., Prats-Montalbán, J. M., Ferrer, A., & Conesa, A. (2020). MultiBaC: A strategy to remove batch effects between different omic data types. Statistical Methods in Medical Research. https://doi.org/10.1177/0962280220907365  Nueda MJ, Ferrer A, Conesa A. ARSyN: A method for the identification and removal of systematic noise in multifactorial time course microarray experiments. Biostatistics. 2012;13:553–66.