Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

plotSplice

Differential splicing plot


Description

Plot relative log-fold changes by exons for the specified gene and highlight the significantly spliced exons.

Usage

plotSplice(fit, coef=ncol(fit), geneid=NULL, genecolname=NULL, rank=1L, FDR = 0.05)

Arguments

fit

MArrayLM fit object produced by diffSplice.

coef

the coefficient (column) of fit for which differentially splicing is assessed.

geneid

character string, ID of the gene to plot.

genecolname

column name of fit$genes containing gene IDs. Defaults to fit$genecolname.

rank

integer, if geneid=NULL then this ranked gene will be plotted.

FDR

numeric, highlight exons as red dots with false discovery rate less than this cutoff. The FDR of the individual exon is calculated based on the exon-level t-statistics test for differences between each exon and all other exons for the same gene.

Details

Plot relative log2-fold-changes by exon for the specified gene. The relative logFC is the difference between the exon's logFC and the overall logFC for the gene, as computed by diffSplice. The significantly spliced individual exons are highlighted as red dots. The size of the red dots are weighted by its significance.

Value

A plot is created on the current graphics device.

Author(s)

Gordon Smyth and Yifang Hu

See Also

A summary of functions available in LIMMA for RNA-seq analysis is given in 11.RNAseq.

Examples

# See diffSplice

limma

Linear Models for Microarray Data

v3.46.0
GPL (>=2)
Authors
Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Yunshun Chen [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]
Initial release
2020-10-19

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.