casanova-lab/iMUBAC: Integration of Multi-Batch Cytometry datasets

High-dimentional cytometry, including spectral flow cytometry and mass cytometry (CyTOF), enables deep immunophenotyping at a single-cell resolution. Analysis of cytometry data from multiple batches of experiments remains to be challenging due to the high-dimentionality and batch effects. We designed iMUBAC (Integration of Multi-Batch Cytometry datasets) to enable a rational and streamlined inter-batch comparisons through i) preprocessing, ii) batch-correction, iii) unsupervised clustering, and iv) batch-specific cell-type identification.

Getting started

Package details

AuthorMasato Ogishi
MaintainerMasato Ogishi <oogishi-tky@umin.ac.jp>
LicenseMIT + file LICENSE
Version0.2.1
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("casanova-lab/iMUBAC")
casanova-lab/iMUBAC documentation built on Sept. 13, 2022, 6:36 p.m.