IDMapping(organism="hsapiens",dataType="list", inputGeneFile=NULL,
inputGene=NULL, sourceIdType, targetIdType, collapseMethod="mean",
is_outputFile=FALSE, outputFileName="",methodType="R",
hostName="http://www.webgestalt.org/")
listOrganism
to check the available organisms.
list
(a gene list), rnk
(a ranked gene list) and gmt
(a gmt file).
txt
file for a gene list,
a rnk
file for a gene list with scores (separated by tab),
a gmt
file (first column is category id, second one is external link of
the category and others are the annotated genes. all columns are separated by tab).
vector
object for a gene list and
an R data.frame
object for a gene list with scores.
listIDType
.
listIDType
.
mean
, median
, min
and max
represent the mean, median, minimum and maximum of scores for the duplicate ids.
R
or Python
function to read it.
Sometimes Python
code is faster than the R
code.
If users select to use Python
code to read the mapping
table, users should first install python and the module pandas
in the computer.
listArchiveURL
function
to get all archive version URL.
targetIdType
is one of entrezgene
, genesymbol
and genename
, the output
object will contain four columns for a gene list (userid
, genesymbol
,
genename
and entrezgene
), five columns for a gene list with scores
(userid
, genesymbol
, genename
, entrezgene
and score
)
and six columns for a gmt file (geneset
, link
, userid
,
genesymbol
, genename
and entrezgene
). If the targetIdType
is other ID type, the data.frame object will add one more column targetid
.geneFile<-system.file("extdata","interestingGenes.txt",package="WebGestaltR")
#idmap <- IDMapping(organism="hsapiens",dataType="list",
#inputGeneFile=geneFile, sourceIdType="genesymbol",targetIdType="entrezgene",
#is_outputFile=FALSE,outputFileName="",methodType="R",
#hostName="http://www.webgestalt.org/")
Run the code above in your browser using DataLab