xMLzoom: Function to visualise machine learning results using zoom...

In Pi: Leveraging Genetic Evidence to Prioritise Drug Targets at the Gene and Pathway Level

Description

xMLzoom is supposed to visualise machine learning results using zoom plot. It returns an object of class "ggplot".

Usage

xMLzoom(
xTarget,
top = 20,
top.label.type = c("box", "text"),
top.label.size = 3,
top.label.query = NULL,
point.shape = 3,
font.family = "sans",
signature = TRUE
)

Arguments

xTarget	an object of class "sTarget" or "dTarget" (with the component 'pPerf')
top	the number of the top targets to be labelled/highlighted
top.label.type	how to label the top targets. It can be "box" drawing a box around the labels , and "text" for the text only
top.label.size	the highlight label size
top.label.query	which top genes in query will be labelled. By default, it sets to NULL meaning all top genes will be displayed. If labels in query can not be found, then none will be displayed
point.shape	an integer specifying point shapes. By default, it is 3 for cross. For details, please refere to http://sape.inf.usi.ch/quick-reference/ggplot2/shape
font.family	the font family for texts
signature	logical to indicate whether the signature is assigned to the plot caption. By default, it sets TRUE

Value

an object of class "ggplot"

Note

none

See Also

xColormap

Examples

RData.location <- "http://galahad.well.ox.ac.uk/bigdata"
## Not run: 
gp <- xMLzoom(sTarget)
gp

## End(Not run)

Pi documentation built on Nov. 29, 2021, 3 p.m.