PredictionsDistributionBoxplot: Boxplot of MM2S Subtype Predictions for Given Samples

Description Usage Arguments Value Author(s) References Examples

View source: R/PredictionsDistributionBoxplot.R

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

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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

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# 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)

bhklab/MM2S documentation built on Dec. 25, 2021, 10:48 a.m.