PredictionsBarplot: Stacked Barplot of MM2S Subtype Predictions for Given Samples

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

Description

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

Usage

PredictionsBarplot(InputMatrix,pdf_output,pdfheight,pdfwidth)

Arguments

InputMatrix	Matrix with samples in rows, and columns with MM2S percentage predictions for each subtype (Gr4,Gr3,SHH,WNT, and Normal)
pdf_output	Option to save the heatmap as a PDF file
pdfheight	User-defined specification for PDF height size
pdfwidth	User-defined specification for PDF width size

Value

Generated Stacked Barplot of MM2S subtype predictions. Samples are in columns. Stacks are reflective of prediction percentages across MB subtypes for a given sample.

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

# Generate heatmap from already-computed predictions for the GTML Mouse Model
## load computed MM2S predictions for GTML mouse model
data(GTML_Mouse_Preds)
## Generate Barplot
PredictionsBarplot(InputMatrix=GTML_Mouse_Preds, pdf_output=TRUE,pdfheight=5,pdfwidth=5)

## Not Run
# Generate heatmap after running 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[2:3],xls_output=TRUE,parallelize=1)
# Generate Heatmap
# PredictionsBarplot(InputMatrix=SubtypePreds$Predictions,pdf_output=TRUE,pdfheight=5,pdfwidth=5)

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