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\name{kda2himmeli.identify}
\alias{kda2himmeli.identify}
\title{
Match identities with respect to given variable name
}
\description{
\code{kda2himmeli.identify} searches the given data list \code{dat}
within the \code{labels} according to the specified attribute (variable
name). It returns the matched rows. Hence, it finds identifier numbers for
the searched data list \code{dat}.
}
\usage{
kda2himmeli.identify(dat, varname, labels)
}
\arguments{
\item{dat}{
node ID list whose symbols or names will be collected from network
node name (or symbol) list.
}
\item{varname}{
specifies that \code{dat} will be searched among \code{labels}
according to which variable (attribute). Here, gene symbols whose IDs
are given, will be searched in the causal network node list according
to the NODE attribute.
}
\item{labels}{
the data list possibly including names or symbols corresponding to the
given IDs in the \code{dat} data list.
}
}
\value{
\item{res }{the matching labels or names of \code{labels} with the IDs of
\code{dat} list }
}
\examples{
## Converts identities (either module names or gene names) to the indices
aa<- data.frame(MODULE=c("Mod1", "Mod1", "Mod2", "Mod2", "Mod3"),
NODE=c("GeneA", "GeneC", "GeneB", "GeneC", "GeneA"))
aa
bb <- kda2himmeli.identify(aa, "MODULE", c("Mod1"))
bb
cc <- kda2himmeli.identify(aa, "MODULE", c("Mod1", "Mod3"))
cc
dd <- kda2himmeli.identify(aa, "NODE", c("GeneA"))
dd
}
\references{
Shu L, Zhao Y, Kurt Z, Byars SG, Tukiainen T, Kettunen J, Orozco LD,
Pellegrini M, Lusis AJ, Ripatti S, Zhang B, Inouye M, Makinen V-P, Yang X.
Mergeomics: multidimensional data integration to identify pathogenic
perturbations to biological systems. BMC genomics. 2016;17(1):874.
}
\author{
Ville-Petteri Makinen
}
\seealso{
\code{\link{kda2himmeli}}
}
|
