The Medullo-Model To Subtypes (MM2S) classifier stratifies single MB gene expression profiles without reference samples or replicates. Our pathway-centric approach facilitates subtype predictions of patient samples, and model systems including cell lines and mouse models.  
The manuscript link is: 
http://www.sciencedirect.com/science/article/pii/S0888754315000774 

The MM2S and MM2Sdata packages are available on CRAN as well as the Github:

** To install the MM2S and the MM2Sdata packages, from within an R terminal, please type:

install.packages("MM2S", repos="http://cran.r-project.org")
library(MM2S)
install.packages("MM2Sdata", repos="http://cran.r-project.org")
library(MM2Sdata)

** To install the MM2S and the MM2Sdata packages from source:

1. Please first download the packages from CRAN:

https://cran.r-project.org/web/packages/MM2S/index.html
https://cran.r-project.org/web/packages/MM2Sdata/index.html

2. Type in your terminal:
R CMD INSTALL MM2S_1.0.3.tar.gz
R CMD INSTALL MM2Sdata_1.0.1.tar.gz

3. Load the libraries in R:
library(MM2S)
library(MM2Sdata)

** To install dependencies of the package, please run the following in R:
pp <- c("GSVA", "kknn", "lattice", "pheatmap")
source("http://bioconductor.org/biocLite.R")
myrepos <- biocinstallRepos()
rr <- biocLite(pkgs=pp, dependencies=TRUE, type="source", destdir=".")