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MM2S  

Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines
View on CRAN: Click here


Download and install MM2S package within the R console
Install from CRAN:
install.packages("MM2S")

Install from Github:
library("remotes")
install_github("cran/MM2S")

Install by package version:
library("remotes")
install_version("MM2S", "1.0.6")



Attach the package and use:
library("MM2S")
Maintained by
Benjamin Haibe-Kains
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-06-11
Latest Update:
Description:
A single-sample classifier that generates Medulloblastoma (MB) subtype predictions for single-samples of human Medulloblastoma (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 (Principal Component Analysis) plots and heatmaps. Deena Gendoo and Benjamin Haibe-Kains (2016) .
How to cite:
Benjamin Haibe-Kains (2015). MM2S: Single-Sample Classifier of Medulloblastoma Subtypes for Medulloblastoma Patient Samples, Mouse Models, and Cell Lines. R package version 1.0.6, https://cran.r-project.org/web/packages/MM2S. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0.0 (2015-06-11 21:46), 1.0.1 (2015-06-17 17:57), 1.0.2 (2015-07-08 13:49), 1.0.3 (2015-08-12 06:42), 1.0.4 (2015-11-03 01:14), 1.0.5 (2016-02-25 00:39), 1.0.6 (2019-03-22 10:53)
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