PredictionsDistributionBoxplot: Boxplot of MM2S Subtype Predictions for Given Samples

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

Description

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

Usage

PredictionsDistributionBoxplot(InputMatrix,pdf_output,pdfheight,pdfwidth)

Arguments

InputMatrix	Output object from calling MM2S.Human or MM2S.Mouse predictions
pdf_output	Option to save the boxplot as a PDF file
pdfheight	User-defined specification for PDF height size
pdfwidth	User-defined specification for PDF width size

Value

Generated Pie of all the MM2S subtype predictions in a testing set.

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

Examples

# First run raw expression data through MM2S
# load Mouse gene expression data for the potential WNT mouse model
data(WNT_Mouse_Expr)
SubtypePreds<-MM2S.mouse(InputMatrix=WNT_Mouse_Expr,parallelize=2, seed = 12345)
# Generate Heatmap
PredictionsDistributionBoxplot(InputMatrix=SubtypePreds,pdf_output=TRUE,pdfheight=5,pdfwidth=5)

MM2S documentation built on May 1, 2019, 10:29 p.m.