Description Usage Arguments Value Author(s) References Examples
This function generates a graphical heatmap of MM2S subtype predictions for samples of interest. Users are provided the option to save this heatmap as a PDF file.
1 | PredictionsHeatmap(InputMatrix,pdf_output,pdfheight,pdfwidth)
|
InputMatrix |
Matrix containing the samples in rows and columns containing 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 |
Generated Heatmap of MM2S subtype predictions. Samples are in rows, and prediction percentages are in columns.
Deena M.A. Gendoo
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
1 2 3 4 5 6 7 8 9 10 11 12 13 | # Generate heatmap from already-computed predictions for the GTML Mouse Model
## load computed MM2S predictions for GTML mouse model
data(GTML_Mouse_Preds)
## Generate Heatmap
PredictionsHeatmap(InputMatrix=GTML_Mouse_Preds, pdf_output=TRUE,pdfheight=20,pdfwidth=5)
# 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],parallelize=1, seed = 12345)
# Generate Heatmap
PredictionsHeatmap(InputMatrix=SubtypePreds$Predictions,
pdf_output=TRUE,pdfheight=5,pdfwidth=5)
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.