--- a
+++ b/man/comptSNE.Rd
@@ -0,0 +1,53 @@
+% 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)
+
+}