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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/algorithmSpecificFunctions.R
\name{useMclust}
\alias{useMclust}
\title{UseMclust}
\usage{
useMclust(expression, clusterNumbers = NULL, verbose = TRUE,
parallel = FALSE, pathToClinicalData = "pathTo/clinicalData",
pathToExpressionmatrix = "pathTo/expressionmatrix")
}
\arguments{
\item{expression}{(Simulated) Gene Expression data frame which genes shall
be classified as unimodal, bimodal or other}
\item{clusterNumbers}{span of the clusters to be calculated at maximum}
\item{verbose}{logical. Whether to print progress messages}
\item{parallel}{logical. Whether to calculate the mclust models in parallel}
\item{pathToClinicalData}{If real data is used the path
to the clinical data can be stored here}
\item{pathToExpressionmatrix}{If real data is used the path
to the gene expression matrix can be stored here}
}
\value{
The formatted output of the mclust algorithm
}
\description{
Use the mclust algorithm for generating output to evaluate the
classification (unimodal,bimodal or other) of genes.
}
\examples{
\dontrun{
params <- newParams(nGenes = list("1"=10,"2"=list("gauss"= 10,"gamma"= 10)))
simulation <- simulateExpression(params= params,verbose=FALSE)
expression <- simulation$expressionData
#with messages printed to console
mclustOutput <- useMclust(expression = expression)
#without messages printed to console, at maximum 3 clusters
mclustOutput <- useMclust(expression = expression, clusterNumbers = c(1:3),
verbose = FALSE, parallel = FALSE)
}
}