Last data update: 2014.03.03

R: Plot expression profiles of multiple genes or probesets
profilesPlotR Documentation

Plot expression profiles of multiple genes or probesets

Description

Plot expression profiles of multiple genes or probesets. Each line depicts a gene, and the color legend can be used to identify the gene.

Usage

profilesPlot(object, probesetIds, sampleIDs = TRUE, addLegend = TRUE, legendPos = "topleft", colvec = NULL, orderGroups = NULL, ...)

Arguments

object

ExpressionSet object for the experiment

probesetIds

The probeset ID. These should be stored in the featureNames of the expressionSet object.

colvec

Vector of colors to be used for the groups. If not specified, the default colors of a4palette are used.

sampleIDs

A boolean or a string to determine the labels on the x-axis. Setting it to FALSE results in no labels (interesting when the labels are unreadable due to large sample sizes). Setting it to a string will put the values of that particular pData column as labels. The string should be a name of a column in the pData of the expressionSet object."

addLegend

Boolean indicating whether a legend for the colors of the dots should be added.

legendPos

Specify where the legend should be placed. Typically either topright, bottomright, topleft (the default) or bottomleft

orderGroups

String containing the name of the grouping variable to order the samples in the x-axis accordingly. This should be a name of a column in the pData of the expressionSet object.

...

Possibility to add extra plot options. See par

Author(s)

W. Talloen

See Also

plot1gene, boxPlot

Examples

if (require(ALL)){
  data(ALL, package = "ALL")
  ALL <- addGeneInfo(ALL)
  ALL$BTtype <- as.factor(substr(ALL$BT,0,1))
  
  myGeneSymbol <- c("LCK")	# a gene 
  probesetPos <- which(myGeneSymbol == featureData(ALL)$SYMBOL)
  myProbesetIds <- featureNames(ALL)[probesetPos]
  
  profilesPlot(object = ALL, probesetIds = myProbesetIds, 
      orderGroups = "BT", sampleIDs = "BT")
}

Results


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> library(a4Base)
Loading required package: grid
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

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    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

Loading required package: AnnotationDbi
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Attaching package: 'S4Vectors'

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Loading required package: KEGG.db

KEGG.db contains mappings based on older data because the original
  resource was removed from the the public domain before the most
  recent update was produced. This package should now be considered
  deprecated and future versions of Bioconductor may not have it
  available.  Users who want more current data are encouraged to look
  at the KEGGREST or reactome.db packages

Loading required package: mpm
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Attaching package: 'MASS'

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Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009

mpm version 1.0-22

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Attaching package: 'genefilter'

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Attaching package: 'a4Core'

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Loading required package: gplots

Attaching package: 'gplots'

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a4Base version 1.20.0

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/a4Base/profilesPlot.Rd_%03d_medium.png", width=480, height=480)
> ### Name: profilesPlot
> ### Title: Plot expression profiles of multiple genes or probesets
> ### Aliases: profilesPlot
> 
> ### ** Examples
> 
> if (require(ALL)){
+   data(ALL, package = "ALL")
+   ALL <- addGeneInfo(ALL)
+   ALL$BTtype <- as.factor(substr(ALL$BT,0,1))
+   
+   myGeneSymbol <- c("LCK")	# a gene 
+   probesetPos <- which(myGeneSymbol == featureData(ALL)$SYMBOL)
+   myProbesetIds <- featureNames(ALL)[probesetPos]
+   
+   profilesPlot(object = ALL, probesetIds = myProbesetIds, 
+       orderGroups = "BT", sampleIDs = "BT")
+ }
Loading required package: ALL
Loading required package: hgu95av2.db
Loading required package: org.Hs.eg.db


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> dev.off()
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