ConesaLab/MultiBaC: Multiomic Batch effect Correction

MultiBaC is a strategy to correct batch effects from multiomic datasets distributed across different labs or data acquisition events. MultiBaC is the first Batch effect correction algorithm that dealing with batch effect correction in multiomics datasets. MultiBaC is able to remove batch effects across different omics generated within separate batches provided that at least one common omic data type is included in all the batches considered.

Getting started

Package details

Authorperson("Manuel", "Ugidos", email = "manuelugidos@gmail.com"), person("Sonia", "Tarazona", email = "sotacam@gmail.com"), person("María José", "Nueda", email = "mjnueda@ua.es")
Bioconductor views BatchEffect DataRepresentation GeneExpression PrincipalComponent Software StatisticalMethod Transcription
MaintainerThe package maintainer <manuelugidos@gmail.com>
LicenseGPL-3
Version1.5.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("ConesaLab/MultiBaC")
ConesaLab/MultiBaC documentation built on Jan. 24, 2022, 5:17 a.m.