A collection of tools for cancer genomic data clustering analyses, including those for single cell RNAseq. Cell clustering and feature gene selection analysis employ Bayesian (and maximum likelihood) nonnegative matrix factorization (NMF) algorithm. Input data set consists of RNA count matrix, gene, and cell bar code annotations. Analysis outputs are factor matrices for multiple ranks and marginal likelihood values for each rank. The package includes utilities for downstream analyses, including metagene identification, visualization, and construction of rankbased trees for clusters.
Package details 


Author  Jun Woo [aut, cre], Jinhua Wang [aut] 
Bioconductor views  Bayesian Clustering ImmunoOncology SingleCell Transcriptomics 
Maintainer  Jun Woo <jwoo@umn.edu> 
License  GPL (>= 2) 
Version  1.5.1 
URL  http://dx.doi.org/10.26508/lsa.201900443 
Package repository  View on GitHub 
Installation 
Install the latest version of this package by entering the following in R:

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