View source: R/metapredict_plot.R
plotExpressionHeatmap | R Documentation |
Make a heatmap of gene expression from multiple datasets.
plotExpressionHeatmap( fitResult, lambda, ematMerged, sampleMetadata, annoLevels, annoColors = NA, clusterTogether = FALSE, geneIdOrder = NA, className = "class", classLevels = NA, org = "org.Hs.eg", maxVal = 3, ... )
fitResult |
|
lambda |
value of lambda to use in |
ematMerged |
matrix of gene expression for genes by samples. |
sampleMetadata |
data.frame of sample metadata. |
annoLevels |
Named list used to make the |
annoColors |
Passed to |
clusterTogether |
logical indicating whether to cluster the samples from each dataset together or separately. |
geneIdOrder |
Optional character array of Entrez Gene IDs specifying the order
of genes. If |
className |
column in sampleMetadata containing values of the response variable. |
classLevels |
Order of classes for the column annotations. |
org |
Name of package for mapping Entrez Gene IDs to gene symbols,
passed to |
maxVal |
Maximum absolute value of scaled and centered gene expression, used to control dynamic range of color in the heatmap. |
... |
Additional arguments passed to |
A pheatmap
object.
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