Parallel coordinates plot of expression data — plot

The parallel coordinates plot will display a line plot showing the expression value for gene on the y-axis by each sample on the x-axis.

Usage

plot_parallel(x, ...)

# Default S3 method
plot_parallel(x)

# S3 method for class 'matrix'
plot_parallel(x, metadata = NULL, colBy = NULL, removeVar = NULL, ...)

# S3 method for class 'data.frame'
plot_parallel(x, metadata = NULL, colBy = NULL, removeVar = NULL, ...)

# S3 method for class 'SummarizedExperiment'
plot_parallel(x, assay = "counts", colBy = NULL, removeVar = NULL, ...)

Arguments

x: gene by sample matrix or SummarizedExperiment object
...: Additional parameters passed to ggplot2::geom_line()
metadata: data.frame containing metadata per sample. rownames of metadata
colBy: metadata column used to color lines. Default NULL, every sample will get its own color.
removeVar: Remove this proportion of features based on the variance across rows. Default NULL, all features are plotted.
assay: assay of SummarizedExperiment object to be plotted. Default "counts".

Value

ggplot object

Examples

# Create metadata for plotting
metadata <- data.frame(row.names = colnames(GSE161650_lc))
metadata$Group <- rep(c("DMSO", "THZ1"), each = 3)

# Plot the PCP for each sample -- passing alpha value to geom_line()
plot_parallel(GSE161650_lc, alpha = 0.01) +
  theme_coriell()


# Plot the PCP by coloring each sample by Group from metadata
plot_parallel(GSE161650_lc, metadata, colBy = "Group", alpha = 0.01) +
  theme_coriell()