DESCRIPTION

Package: BREMSC
Type: Package
Title: Joint clustering droplet-based single cell transcriptomic and proteomic data using a novel bayesian random effects mixture model
Version: 0.2.0
Author: Xinjun Wang, Zhe Sun
Maintainer: Xinjun Wang <XIW119@pitt.edu>
Description: BREM-SC is a novel joint clustering method for single cell multi-omics data. The current implementation of BREMSC function can do cell clustering utilizing both scRNA-seq and CITE-seq data simultaneously.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.0.2
Imports: 
    doParallel,
    dirmult,
    Rfast,
    foreach,
    parallel