% Generated by roxygen2: do not edit by hand

% Please edit documentation in R/DIscBIO-generic-comptSNE.R

\name{comptSNE}

\alias{comptSNE}

\alias{comptSNE,DISCBIO-method}

\title{Computing tSNE}

\usage{

comptSNE(

  object,

  rseed = NULL,

  max_iter = 5000,

  epoch = 500,

  quiet = FALSE,

  ...

)

\S4method{comptSNE}{DISCBIO}(

  object,

  rseed = NULL,

  max_iter = 5000,

  epoch = 500,

  quiet = FALSE,

  ...

)

}

\arguments{

\item{object}{\code{DISCBIO} class object.}

\item{rseed}{Random integer to to yield reproducible maps across different

runs}

\item{max_iter}{maximum number of iterations to perform.}

\item{epoch}{The number of iterations in between update messages.}

\item{quiet}{if `TRUE`, suppresses intermediate output}

\item{...}{other parameters to be passed to `tsne::tsne`}

}

\value{

The DISCBIO-class object input with the tsne slot filled.

}

\description{

This function is used to compute the t-Distributed Stochastic

  Neighbor Embedding (t-SNE).

}

\examples{

sc <- DISCBIO(valuesG1msTest) # changes signature of data

sc <- Clustexp(sc, cln = 2) # data must be clustered before plottin

sc <- comptSNE(sc, max_iter = 30)

head(sc@tsne)

}