Last data update: 2014.03.03

R: 'ids' for the different DAVIDWebService package class objects
idsR Documentation

ids for the different DAVIDWebService package class objects

Description

Obtain ids related information, according to the given function call (see Values).

Usage

  ids(object)

  ## S4 method for signature 'DAVIDGenes'
ids(object)

  ## S4 method for signature 'DAVIDFunctionalAnnotationChart'
ids(object)

  ## S4 method for signature 'DAVIDGeneCluster'
ids(object)

  ## S4 method for signature 'DAVIDTermCluster'
ids(object)

Arguments

object

DAVIDWebService class object. Possible values are: DAVIDGenes, DAVIDFunctionalAnnotationChart, DAVIDGeneCluster or DAVIDTermCluster.

Value

according to the call one of the following objects can be returned

DAVIDGenes

character vector with gene submitted ids.

DAVIDFunctionalAnnotationChart

list with character/integer vector of ids of the corresponding "Category".

DAVIDGeneCluster, DAVIDTermCluster

list with character/integer vector of ids of the members of each cluster.

Author(s)

Cristobal Fresno and Elmer A Fernandez

See Also

Other DAVIDFunctionalAnnotationChart: DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart-class, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDGODag, DAVIDGODag, DAVIDGeneCluster, DAVIDGeneCluster, DAVIDGenes, DAVIDGenes, DAVIDGenes, DAVIDTermCluster, DAVIDTermCluster, as, as, as, categories, categories, categories, initialize, initialize, initialize, initialize, initialize, initialize, initialize, plot2D, plot2D, plot2D, plot2D, plot2D, plot2D

Other DAVIDGeneCluster: DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDGODag, DAVIDGODag, DAVIDGeneCluster, DAVIDGeneCluster, DAVIDGeneCluster-class, DAVIDGenes, DAVIDGenes, DAVIDGenes, DAVIDTermCluster, DAVIDTermCluster, as, as, as, genes, genes, genes, genes, initialize, initialize, initialize, initialize, initialize, initialize, initialize, plot2D, plot2D, plot2D, plot2D, plot2D, plot2D

Other DAVIDGenes: DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDGODag, DAVIDGODag, DAVIDGeneCluster, DAVIDGeneCluster, DAVIDGenes, DAVIDGenes, DAVIDGenes, DAVIDGenes-class, DAVIDTermCluster, DAVIDTermCluster, as, as, as, genes, genes, genes, genes, initialize, initialize, initialize, initialize, initialize, initialize, initialize

Other DAVIDTermCluster: DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationChart, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDFunctionalAnnotationTable, DAVIDGODag, DAVIDGODag, DAVIDGeneCluster, DAVIDGeneCluster, DAVIDGenes, DAVIDGenes, DAVIDGenes, DAVIDTermCluster, DAVIDTermCluster, DAVIDTermCluster-class, as, as, as, initialize, initialize, initialize, initialize, initialize, initialize, initialize, plot2D, plot2D, plot2D, plot2D, plot2D, plot2D

Examples

{
##DAVIDGenes example:
##Load Show Gene List file report for the input demo file 1, using data
##function. Then, create a DAVIDGenes object using the loaded data.frame
##geneList1. Once, the report is loaded, we can retrieve the ids.
data(geneList1)
davidGenes1<-DAVIDGenes(geneList1)
ids(davidGenes1)

##DAVIDFunctionalAnnotationChart example:
##Load the Functional Annotation Chart file report for the input demo
##file 2, using data function. Then, create a DAVIDFunctionalAnnotationChart
##object using the loaded data.frame funChart2. Once the report is loaded,
##the user can obtain the ids of the genes present in each Term, as a list of
##character vector.
data(funChart2)
davidFunChart2<-DAVIDFunctionalAnnotationChart(funChart2)
ids(davidFunChart2)


##DAVIDGeneCluster example:
##Load the Gene Functional Classification Tool file report for the
##input demo list 1 file to create a DAVIDGeneCluster object.
setwd(tempdir())
fileName<-system.file("files/geneClusterReport1.tab.tar.gz",
package="RDAVIDWebService")
untar(fileName)
davidGeneCluster1<-DAVIDGeneCluster(untar(fileName, list=TRUE))
davidGeneCluster1

##Now we can invoke DAVIDCluster ancestor functions to inspect the report
##data, of each cluster. For example, we can call summary to get a general
##idea, and the inspect the cluster with higher Enrichment Score, to see
##which members belong to it, etc. Or simply returning the whole cluster as
##a list with EnrichmentScore and Members.
summary(davidGeneCluster1)
higherEnrichment<-which.max(enrichment(davidGeneCluster1))
clusterGenes<-members(davidGeneCluster1)[[higherEnrichment]]
wholeCluster<-cluster(davidGeneCluster1)[[higherEnrichment]]

##Now, we can obtain the ids of the  first cluster directly using
##davidGeneCluster1 or by using DAVIDGenes class on the same cluster.
ids(davidGeneCluster1)[[1]]
ids(members(davidGeneCluster1)[[1]])


##DAVIDTermCluster example:
##Load the Gene Functional Classification Tool file report for the
##input demo file 2 to create a DAVIDGeneCluster object.
setwd(tempdir())
fileName<-system.file("files/termClusterReport2.tab.tar.gz",
package="RDAVIDWebService")
untar(fileName)
davidTermCluster2<-DAVIDTermCluster(untar(fileName, list=TRUE))
davidTermCluster2

##Now we can invoke DAVIDCluster ancestor functions to inspect the report
##data, of each cluster. For example, we can call summary to get a general
##idea, and the inspect the cluster with higher Enrichment Score, to see
##which members belong to it, etc. Or simply returning the whole cluster as a
##list with EnrichmentScore and Members.
summary(davidTermCluster2)
higherEnrichment<-which.max(enrichment(davidTermCluster2))
clusterGenes<-members(davidTermCluster2)[[higherEnrichment]]
wholeCluster<-cluster(davidTermCluster2)[[higherEnrichment]]

##Then, we can obtain the ids of the term members calling clusterGenes object
##which is a DAVIDFunctionalAnnotationChart class or directly using ids on
##davidTermCluster2 for the higherEnrichment cluster.
ids(clusterGenes)
ids(davidTermCluster2)[[higherEnrichment]]
}

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(RDAVIDWebService)
Loading required package: graph
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 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: GOstats
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")'.

Loading required package: Category
Loading required package: stats4
Loading required package: AnnotationDbi
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: Matrix

Attaching package: 'Matrix'

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

    expand



Attaching package: 'GOstats'

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

    makeGOGraph

Loading required package: ggplot2

Attaching package: 'RDAVIDWebService'

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

    species

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

    members

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

    counts, species

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/RDAVIDWebService/DAVIDClasses-ids.Rd_%03d_medium.png", width=480, height=480)
> ### Name: ids
> ### Title: 'ids' for the different DAVIDWebService package class objects
> ### Aliases: ids,DAVIDFunctionalAnnotationChart-method
> ###   ids,DAVIDGeneCluster-method ids,DAVIDGenes-method
> ###   ids,DAVIDTermCluster-method ids
> 
> ### ** Examples
> 
> {
+ ##DAVIDGenes example:
+ ##Load Show Gene List file report for the input demo file 1, using data
+ ##function. Then, create a DAVIDGenes object using the loaded data.frame
+ ##geneList1. Once, the report is loaded, we can retrieve the ids.
+ data(geneList1)
+ davidGenes1<-DAVIDGenes(geneList1)
+ ids(davidGenes1)
+ 
+ ##DAVIDFunctionalAnnotationChart example:
+ ##Load the Functional Annotation Chart file report for the input demo
+ ##file 2, using data function. Then, create a DAVIDFunctionalAnnotationChart
+ ##object using the loaded data.frame funChart2. Once the report is loaded,
+ ##the user can obtain the ids of the genes present in each Term, as a list of
+ ##character vector.
+ data(funChart2)
+ davidFunChart2<-DAVIDFunctionalAnnotationChart(funChart2)
+ ids(davidFunChart2)
+ 
+ 
+ ##DAVIDGeneCluster example:
+ ##Load the Gene Functional Classification Tool file report for the
+ ##input demo list 1 file to create a DAVIDGeneCluster object.
+ setwd(tempdir())
+ fileName<-system.file("files/geneClusterReport1.tab.tar.gz",
+ package="RDAVIDWebService")
+ untar(fileName)
+ davidGeneCluster1<-DAVIDGeneCluster(untar(fileName, list=TRUE))
+ davidGeneCluster1
+ 
+ ##Now we can invoke DAVIDCluster ancestor functions to inspect the report
+ ##data, of each cluster. For example, we can call summary to get a general
+ ##idea, and the inspect the cluster with higher Enrichment Score, to see
+ ##which members belong to it, etc. Or simply returning the whole cluster as
+ ##a list with EnrichmentScore and Members.
+ summary(davidGeneCluster1)
+ higherEnrichment<-which.max(enrichment(davidGeneCluster1))
+ clusterGenes<-members(davidGeneCluster1)[[higherEnrichment]]
+ wholeCluster<-cluster(davidGeneCluster1)[[higherEnrichment]]
+ 
+ ##Now, we can obtain the ids of the  first cluster directly using
+ ##davidGeneCluster1 or by using DAVIDGenes class on the same cluster.
+ ids(davidGeneCluster1)[[1]]
+ ids(members(davidGeneCluster1)[[1]])
+ 
+ 
+ ##DAVIDTermCluster example:
+ ##Load the Gene Functional Classification Tool file report for the
+ ##input demo file 2 to create a DAVIDGeneCluster object.
+ setwd(tempdir())
+ fileName<-system.file("files/termClusterReport2.tab.tar.gz",
+ package="RDAVIDWebService")
+ untar(fileName)
+ davidTermCluster2<-DAVIDTermCluster(untar(fileName, list=TRUE))
+ davidTermCluster2
+ 
+ ##Now we can invoke DAVIDCluster ancestor functions to inspect the report
+ ##data, of each cluster. For example, we can call summary to get a general
+ ##idea, and the inspect the cluster with higher Enrichment Score, to see
+ ##which members belong to it, etc. Or simply returning the whole cluster as a
+ ##list with EnrichmentScore and Members.
+ summary(davidTermCluster2)
+ higherEnrichment<-which.max(enrichment(davidTermCluster2))
+ clusterGenes<-members(davidTermCluster2)[[higherEnrichment]]
+ wholeCluster<-cluster(davidTermCluster2)[[higherEnrichment]]
+ 
+ ##Then, we can obtain the ids of the term members calling clusterGenes object
+ ##which is a DAVIDFunctionalAnnotationChart class or directly using ids on
+ ##davidTermCluster2 for the higherEnrichment cluster.
+ ids(clusterGenes)
+ ids(davidTermCluster2)[[higherEnrichment]]
+ }
[[1]]
 [1] "2036_S_AT"  "430_AT"     "1520_S_AT"  "1953_AT"    "875_G_AT"  
 [6] "1388_G_AT"  "38374_AT"   "31737_AT"   "37233_AT"   "32583_AT"  
[11] "39372_AT"   "32464_AT"   "32779_S_AT" "1829_AT"    "1936_S_AT" 
[16] "39573_AT"   "259_S_AT"   "36674_AT"   "36101_S_AT" "224_AT"    
[21] "36100_AT"   "37310_AT"   "41216_R_AT" "35372_R_AT" "34666_AT"  
[26] "34981_AT"   "33802_AT"   "36009_AT"   "1973_S_AT"  "35345_AT"  
[31] "1548_S_AT"  "706_AT"     "1852_AT"    "35471_G_AT" "164_AT"    
[36] "1788_S_AT"  "1602_AT"    "37724_AT"   "39408_AT"   "2082_S_AT" 
[41] "36621_AT"   "31615_I_AT" "1461_AT"    "39402_AT"   "1939_AT"   
[46] "37606_AT"   "36519_AT"   "41169_AT"   "41726_AT"   "1007_S_AT" 
[51] "41234_AT"   "33092_AT"   "1895_AT"    "34375_AT"   "189_S_AT"  
[56] "33455_AT"   "37206_AT"   "41445_AT"   "34145_AT"   "1369_S_AT" 
[61] "36760_AT"   "1005_AT"    "31562_AT"   "1125_S_AT"  "408_AT"    
[66] "37365_AT"   "40385_AT"   "967_G_AT"   "36651_AT"   "568_AT"    
[71] "789_AT"     "40522_AT"   "37440_AT"   "36615_AT"   "41717_AT"  
[76] "40310_AT"   "40661_AT"   "36103_AT"   "1091_AT"   

[[2]]
 [1] "2036_S_AT"  "35149_AT"   "1520_S_AT"  "875_G_AT"   "31737_AT"  
 [6] "1388_G_AT"  "1148_S_AT"  "37233_AT"   "32583_AT"   "39372_AT"  
[11] "32464_AT"   "1936_S_AT"  "36674_AT"   "40669_AT"   "259_S_AT"  
[16] "37310_AT"   "32718_AT"   "1569_R_AT"  "35372_R_AT" "34666_AT"  
[21] "32928_AT"   "33802_AT"   "1973_S_AT"  "35345_AT"   "1548_S_AT" 
[26] "1852_AT"    "919_AT"     "40790_AT"   "39408_AT"   "37724_AT"  
[31] "1372_AT"    "36621_AT"   "31615_I_AT" "39402_AT"   "1939_AT"   
[36] "41169_AT"   "41088_AT"   "33092_AT"   "1895_AT"    "34375_AT"  
[41] "189_S_AT"   "1139_AT"    "33455_AT"   "33825_AT"   "41445_AT"  
[46] "34145_AT"   "1369_S_AT"  "36760_AT"   "1005_AT"    "31562_AT"  
[51] "2004_AT"    "39753_AT"   "1125_S_AT"  "41387_R_AT" "408_AT"    
[56] "40385_AT"   "37440_AT"   "41717_AT"   "40310_AT"   "40661_AT"  
[61] "36103_AT"  

[[3]]
 [1] "2036_S_AT"  "36621_AT"   "31615_I_AT" "35149_AT"   "1520_S_AT" 
 [6] "39402_AT"   "875_G_AT"   "1148_S_AT"  "37233_AT"   "41169_AT"  
[11] "41088_AT"   "34375_AT"   "189_S_AT"   "36674_AT"   "259_S_AT"  
[16] "40669_AT"   "1139_AT"    "37310_AT"   "33825_AT"   "32718_AT"  
[21] "34145_AT"   "1369_S_AT"  "41445_AT"   "1569_R_AT"  "35372_R_AT"
[26] "36760_AT"   "2004_AT"    "39753_AT"   "34666_AT"   "32928_AT"  
[31] "33802_AT"   "1125_S_AT"  "41387_R_AT" "408_AT"     "40385_AT"  
[36] "1548_S_AT"  "1852_AT"    "40310_AT"   "36103_AT"   "919_AT"    
[41] "1372_AT"   

[[4]]
 [1] "2036_S_AT"  "35149_AT"   "1520_S_AT"  "1953_AT"    "37584_AT"  
 [6] "36711_AT"   "274_AT"     "875_G_AT"   "1148_S_AT"  "37233_AT"  
[11] "32583_AT"   "39372_AT"   "32464_AT"   "32779_S_AT" "1829_AT"   
[16] "39573_AT"   "35956_S_AT" "259_S_AT"   "40669_AT"   "36674_AT"  
[21] "36101_S_AT" "36100_AT"   "37310_AT"   "32718_AT"   "1569_R_AT" 
[26] "35372_R_AT" "36226_R_AT" "34666_AT"   "32928_AT"   "34981_AT"  
[31] "33802_AT"   "36009_AT"   "41371_AT"   "1548_S_AT"  "1852_AT"   
[36] "38970_S_AT" "35471_G_AT" "41099_AT"   "41382_AT"   "919_AT"    
[41] "1372_AT"    "39408_AT"   "36621_AT"   "31615_I_AT" "34226_AT"  
[46] "39402_AT"   "1939_AT"    "36519_AT"   "41169_AT"   "41726_AT"  
[51] "41234_AT"   "41088_AT"   "1258_S_AT"  "1895_AT"    "34375_AT"  
[56] "189_S_AT"   "1139_AT"    "33455_AT"   "33825_AT"   "41445_AT"  
[61] "34145_AT"   "1369_S_AT"  "1857_AT"    "36760_AT"   "1005_AT"   
[66] "39753_AT"   "2004_AT"    "32405_AT"   "1125_S_AT"  "41387_R_AT"
[71] "408_AT"     "35957_AT"   "37365_AT"   "31522_F_AT" "41106_AT"  
[76] "1911_S_AT"  "40385_AT"   "967_G_AT"   "33698_AT"   "36615_AT"  
[81] "41717_AT"   "40310_AT"   "36103_AT"   "652_G_AT"  

[[5]]
  [1] "1520_S_AT"  "1953_AT"    "274_AT"     "875_G_AT"   "1388_G_AT" 
  [6] "31737_AT"   "38374_AT"   "32583_AT"   "39372_AT"   "1829_AT"   
 [11] "39573_AT"   "35956_S_AT" "36674_AT"   "259_S_AT"   "36100_AT"  
 [16] "41216_R_AT" "38018_G_AT" "35372_R_AT" "36226_R_AT" "34666_AT"  
 [21] "32928_AT"   "33802_AT"   "36009_AT"   "1973_S_AT"  "41371_AT"  
 [26] "35345_AT"   "1548_S_AT"  "706_AT"     "164_AT"     "41099_AT"  
 [31] "1788_S_AT"  "41382_AT"   "40790_AT"   "31615_I_AT" "39402_AT"  
 [36] "1461_AT"    "1939_AT"    "37606_AT"   "33012_AT"   "41169_AT"  
 [41] "1385_AT"    "33092_AT"   "34375_AT"   "33455_AT"   "1369_S_AT" 
 [46] "34145_AT"   "1857_AT"    "36760_AT"   "31562_AT"   "1005_AT"   
 [51] "2004_AT"    "32405_AT"   "31586_F_AT" "39424_AT"   "408_AT"    
 [56] "35957_AT"   "41106_AT"   "36651_AT"   "33698_AT"   "37440_AT"  
 [61] "40522_AT"   "31564_AT"   "40661_AT"   "36103_AT"   "2036_S_AT" 
 [66] "471_F_AT"   "430_AT"     "35149_AT"   "36711_AT"   "37584_AT"  
 [71] "38538_AT"   "1148_S_AT"  "37233_AT"   "32464_AT"   "32779_S_AT"
 [76] "33094_S_AT" "1936_S_AT"  "40669_AT"   "36101_S_AT" "224_AT"    
 [81] "37310_AT"   "36669_AT"   "32718_AT"   "1569_R_AT"  "1919_AT"   
 [86] "37418_AT"   "34981_AT"   "37139_AT"   "833_AT"     "38970_S_AT"
 [91] "1852_AT"    "35471_G_AT" "612_S_AT"   "1263_AT"    "1602_AT"   
 [96] "919_AT"     "2082_S_AT"  "39408_AT"   "37724_AT"   "1372_AT"   
[101] "36621_AT"   "34226_AT"   "36519_AT"   "41726_AT"   "1007_S_AT" 
[106] "41234_AT"   "41088_AT"   "1258_S_AT"  "1244_AT"    "1895_AT"   
[111] "189_S_AT"   "1139_AT"    "37206_AT"   "33825_AT"   "41445_AT"  
[116] "39753_AT"   "32696_AT"   "1125_S_AT"  "37317_AT"   "41387_R_AT"
[121] "33555_AT"   "37365_AT"   "31522_F_AT" "1911_S_AT"  "40385_AT"  
[126] "967_G_AT"   "568_AT"     "789_AT"     "37857_AT"   "36615_AT"  
[131] "41717_AT"   "40310_AT"   "1091_AT"    "652_G_AT"   "31977_AT"  

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>