use_mclust.Rd

% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/use_mclust.R
\name{use_mclust}
\alias{use_mclust}
\title{MClust to Identify Multimodal Genes}
\usage{
use_mclust(
  summarized_experiment,
  index_assay = 1,
  parallel = TRUE,
  no_cluster = NULL,
  ...
)
}
\arguments{
\item{summarized_experiment}{SummarizedExperiment or any matrix-like object.}

\item{index_assay}{Integer - index of assay of gene expression if input object is a SummarizedExperiment.}

\item{parallel}{Logical - use parallel computation of test}

\item{no_cluster}{Integer - number of clusters used in parallelization | Default (number of cores - 1)}

\item{...}{further arguments for mclust}

\item{filter}{Logical - filter input data by alpha}

\item{alpha}{Double - significance level | p-values equal or below alpha are kept}

\item{p.adjust}{Logical - use p.adjust}

\item{method}{Character - method used in p.adjust}
}
\value{
Returns either a vector of pValues or a filtered input object.
}
\description{
This function applies the silvermantest on every row (gene)
}
\details{
Also pay attention to your memory. If you have many
If filter is set to TRUE the function returns an object with the same class as summarized_experiment. Otherwise a vector of p-values is returned.
}