View source: R/plotBiomarker.R
plotBiomarker | R Documentation |
Given a set of genes, return a ggplot of expression values.
plotBiomarker( inSCE, gene, binary = "Binary", shape = "No Shape", useAssay = "counts", reducedDimName = "PCA", x = NULL, y = NULL, comp1 = NULL, comp2 = NULL )
inSCE |
Input SCtkExperiment object. Required |
gene |
genelist to run the method on. |
binary |
binary/continuous color for the expression. |
shape |
shape parameter for the ggplot. |
useAssay |
Indicate which assay to use. The default is "logcounts". |
reducedDimName |
results name of dimension reduction coordinates obtained from this method. This is stored in the SingleCellExperiment object in the reducedDims slot. Required. |
x |
PCA component to be used for plotting(if applicable). Default is first PCA component for PCA data and NULL otherwise. |
y |
PCA component to be used for plotting(if applicable). Default is second PCA component for PCA data and NULL otherwise. |
comp1 |
label for x-axis |
comp2 |
label for y-axis |
A Biomarker plot
data("mouseBrainSubsetSCE") plotBiomarker(mouseBrainSubsetSCE, gene="C1qa", shape="level1class", reducedDimName="TSNE_counts")
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