Last data update: 2014.03.03

R: HeatmapEnrichedHelpfile
HeatmapR Documentation

HeatmapEnrichedHelpfile

Description

Heatmap is a function that plots the top enriched regulatory element or GO terms for the first and second level of analysis in a heatmap. The number of terms to be displayed can be set.

Usage

Heatmap(object, outputformat="on screen", n.nodes.1stlevel="5",
    n.nodes.2ndlevel="5", mult.cor=TRUE, ...)

Arguments

object

an object of class GOsets.

outputformat

a character string specifying if the plot is saved in jpeg (jpeg), postscript (postscript), pdf (pdf) format, or it is simply displayed on the screen(on screen). By default this value is on screen.

n.nodes.1stlevel

a numeric value specifying the number of top enriched GO terms, from the first level, that will be represented on the plot. By default the value is set to 5.

n.nodes.2ndlevel

a numeric value specifying the number of top enriched GO terms, from the second level, that will be represented on the plot. By default the value is set to 5.

mult.cor

a boolean variable specifying whether the displayed significance values are multiple test corrected or the original p-values obtained from the selected enrichment method. By default it is set to TRUE.

...

if the class of object is GOsets, it accepts a character string named ontology selecting the GO ontology of interest, either CC,BP or MF.

Author(s)

Toma Tebaldi, Erik Dassi, Galena Kostoska

See Also

EnrichedSets RegulatoryEnrichment GOsets GOEnrichment GOsims

Examples

data(tRanslatomeSampleData)
Heatmap(CCEnrichment, ontology="MF")

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(tRanslatome)
Loading required package: limma
Loading required package: sigPathway
Loading required package: samr
Loading required package: impute
Loading required package: matrixStats
matrixStats v0.50.2 (2016-04-24) successfully loaded. See ?matrixStats for help.
Loading required package: anota
Loading required package: qvalue
Loading required package: DESeq
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

The following object is masked from 'package:limma':

    plotMA

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

    IQR, mad, xtabs

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

    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

Loading required package: Biobase
Welcome to Bioconductor

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


Attaching package: 'Biobase'

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

    anyMissing, rowMedians

Loading required package: locfit
locfit 1.5-9.1 	 2013-03-22
Loading required package: lattice
    Welcome to 'DESeq'. For improved performance, usability and
    functionality, please consider migrating to 'DESeq2'.
Loading required package: edgeR
Loading required package: RankProd
Loading required package: topGO
Loading required package: graph
Loading required package: GO.db
Loading required package: AnnotationDbi
Loading required package: stats4
Loading required package: IRanges
Loading required package: S4Vectors

Attaching package: 'S4Vectors'

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

    colMeans, colSums, expand.grid, rowMeans, rowSums


Loading required package: SparseM

Attaching package: 'SparseM'

The following object is masked from 'package:base':

    backsolve


groupGOTerms: 	GOBPTerm, GOMFTerm, GOCCTerm environments built.

Attaching package: 'topGO'

The following object is masked from 'package:IRanges':

    members

Loading required package: org.Hs.eg.db

Loading required package: GOSemSim
Loading required package: Heatplus
Loading required package: gplots

Attaching package: 'gplots'

The following object is masked from 'package:IRanges':

    space

The following object is masked from 'package:S4Vectors':

    space

The following object is masked from 'package:stats':

    lowess

Loading required package: plotrix

Attaching package: 'plotrix'

The following object is masked from 'package:gplots':

    plotCI

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/tRanslatome/Heatmap.Rd_%03d_medium.png", width=480, height=480)
> ### Name: Heatmap
> ### Title: HeatmapEnrichedHelpfile
> ### Aliases: Heatmap
> ### Keywords: DEGs GO Regulatory enrichment analysis heatmap
> 
> ### ** Examples
> 
> data(tRanslatomeSampleData)
> Heatmap(CCEnrichment, ontology="MF")
[1] "GO:0005759"
[1] "mitochondrial matrix"
[1] "GO:0042627"
[1] "chylomicron"
[1] "GO:0034361"
[1] "very-low-density lipoprotein particle"
[1] "GO:0034366"
[1] "spherical high-density lipoprotein parti..."
         [,1]     [,2]
[1,] 1.452533 1.427709
[2,] 3.340559 1.427709
[3,] 4.512720 2.390726
[4,] 1.638965 1.489857
[1] 4 2
NULL
                                            transcriptome translatome
mitochondrial matrix                             1.452533    1.427709
chylomicron                                      3.340559    1.427709
very-low-density lipoprotein particle            4.512720    2.390726
spherical high-density lipoprotein parti...      1.638965    1.489857
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>