MM2S.mouse: MM2S Prediction of Mouse Medulloblastoma Samples

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

Description

This function generates MM2S subtype predictions for Mouse samples of interest. Users are provided the option to save this the predictions as a XLS file.

Usage

MM2S.mouse(InputMatrix,xls_output,parallelize)

Arguments

InputMatrix	Matrix containing normalized gene expression data, with genes in rows and samples in columns. Gene IDs MUST be represented as Entres Gene IDs.
xls_output	Option to save MM2S subtype predictions as a XLS file.
parallelize	Option to set number of cores to run ssGSEA calculations in parallel. Default is 1 (no parallelization)

Value

Predictions	MM2S Percent Confidence Predictions of Human Subtypes (Group3, Group4, Normal, SHH, WNT) for a given Mouse sample.
MM2S_Subtype	List of Sample names the designated Human MB subtype from MM2S classification.
RankMatrixTesting	ssGSEA rank matrix of the test data, using selected genesets common between the test data and training set. These genesets are based on a filtered list using the top24 common genesets, for each subtype
RankMatrixTraining	ssGSEA rank matrix of the trained MM2S human data, using selected genesets common between the test data and training set. These genesets are based on a filtered list using the top24 common genesets, for each subtype

Author(s)

Deena M.A. Gendoo

References

Gendoo, D. M., Smirnov, P., Lupien, M. & Haibe-Kains, B. Personalized diagnosis of medulloblastoma subtypes across patients and model systems. Genomics, doi:10.1016/j.ygeno.2015.05.002 (2015)

Manuscript URL: http://www.sciencedirect.com/science/article/pii/S0888754315000774

See Also

MM2S.human,PredictionsHeatmap,PCARender

Examples

# Load Mouse gene expression data 
# Data contains selected samples from a heterogenous WNT Mouse model
# data(WNT_Mouse_Expr)
# Generate Subtype Predictions
# SubtypePreds<-MM2S.mouse(InputMatrix=WNT_Mouse_Expr[2:3],xls_output=TRUE,parallelize=2)

## Not Run
## Generate Heatmap of Predictions
# PredictionsHeatmap(InputMatrix=SubtypePreds$Predictions, pdf_output=TRUE,pdfheight=5,pdfwidth=5)
## Generate projections of the selected genesets from Mouse model onto the training set, using PCA
# PCARender(GSVAmatrixTesting=SubtypePreds$RankMatrixTesting,
# GSVAmatrixTraining=SubtypePreds$RankMatrixTraining)

DGendoo/MM2S documentation built on May 6, 2019, 1:16 p.m.