DGendoo/MM2S: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines

A single-sample classifier that generates Medulloblastoma (MB) subtype predictions for single-samples of human MB patients and model systems, including cell lines and mouse-models. The MM2S algorithm uses a systems-based methodology that facilitates application of the algorithm on samples irrespective of their platform or source of origin. MM2S demonstrates > 96% accuracy for patients of well-characterized normal cerebellum, Wingless (WNT), or Sonic hedgehog (SHH) subtypes, and the less-characterized Group4 (86%) and Group3 (78.2%). MM2S also enables classification of MB cell lines and mouse models into their human counterparts.This package contains function for implementing the classifier onto human data and mouse data, as well as graphical rendering of the results as PCA plots and heatmaps.

Getting started

Package details

AuthorDeena M.A. Gendoo <deena.gendoo@utoronto.ca>, Benjamin Haibe-Kains <benjamin.haibe.kains@utoronto.ca>
Bioconductor views Cancer Classification MM2Sdata Microarray Software Visualization
MaintainerDeena M.A. Gendoo <deena.gendoo@utoronto.ca>
URL http://www.sciencedirect.com/science/article/pii/S0888754315000774 http://www.pmgenomics.ca/bhklab/software/mm2s
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
DGendoo/MM2S documentation built on May 6, 2019, 1:16 p.m.