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 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) .


News

CHANGES IN VERSION 1.0.5

I have included a new vignette that shows how to process raw microarray data for testing with MM2S.

CHANGES IN VERSION 1.0.4

Addition of Newer functions and Update of vignette.

CHANGES IN VERSION 1.0.3

Update of vignette. Vignette is now automatically generated upon installation. Update of DESCRIPTION file.

CHANGES IN VERSION 1.0.2

Handled cases of undefined globals based on CRAN updates. This included:

  • importing several packages (updated in the DESCRIPTION file),
  • and updating the namespace file

CHANGES IN VERSION 1.0.1

USER VISIBLE CHANGES

o Vignette and some examples are updated and now refer to the MM2Sdata package as it appears on CRAN.

o Updated the references section of the MM2S in the manual and vignette to include Github references and lab website.

o Updated license information and citations.

VERSION 1.0.0

First release of the MM2S package.

Reference manual

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