plot.prepGOglm: Plot Two Histograms For Significance Statistics and Gene...

In gu-mi/GOglm: Length Bias Correction in Gene Ontology Enrichment Analysis Using Logistic Regression

Description

Plot DE test results (from the prepare function)

Usage

  ## S3 method for class 'prepGOglm'
 plot(x, ...)

Arguments

x	An object of class prepGOglm
...	Other parameters (for future use)

Value

A panel of two histograms for significance statistics and (transformed) gene lengths, respectively.

Author(s)

Gu Mi [e-mail], Yanming Di [e-mail]

See Also

plot

Examples

## Load the datasets into R session:
data(ProsCan_DE)
DE_data <- ProsCan_DE
data(ProsCan_Length)
Length_data <- ProsCan_Length

## Prepare a data frame of class "prepGOglm":
gene_table <- prepare(DE_data, Length_data, trans.p = "d.log", trans.l = TRUE)

## Call the generic plot() function:
plot(gene_table)

gu-mi/GOglm documentation built on May 14, 2019, 7:42 a.m.