tppQCPlotsCorrelateExperiments: Visually compare fold changes of different TPP experiments.

In TPP: Analyze thermal proteome profiling (TPP) experiments

Description

Plot pairwise relationships between the proteins in different TPP experiments.

Usage

tppQCPlotsCorrelateExperiments(
  tppData,
  annotStr = "",
  path = NULL,
  ggplotTheme = tppDefaultTheme()
)

Arguments

tppData	List of expressionSets with data to be plotted.
annotStr	String with additional information to be added to the plot.
path	Location where to store resulting plot.
ggplotTheme	ggplot theme for the created plots.

Value

List of plots for each experiment.

See Also

tppDefaultTheme

Examples

data(hdacTR_smallExample)
tpptrData <- tpptrImport(configTable=hdacTR_config, data=hdacTR_data)
# Quality control (QC) plots BEFORE normalization:
tppQCPlotsCorrelateExperiments(tppData=tpptrData, 
annotStr="Non-normalized Fold Changes")
# Quality control (QC) plots AFTER normalization:
tpptrNorm <- tpptrNormalize(data=tpptrData, normReqs=tpptrDefaultNormReqs())
tpptrDataNormalized <- tpptrNorm$normData
tppQCPlotsCorrelateExperiments(tppData=tpptrDataNormalized, 
annotStr="Normalized Fold Changes")

TPP documentation built on Nov. 8, 2020, 5:55 p.m.