--- a
+++ b/man/Exprmclust.Rd
@@ -0,0 +1,62 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/DIscBIO-generic-Exprmclust.R
+\name{Exprmclust}
+\alias{Exprmclust}
+\alias{Exprmclust,DISCBIO-method}
+\alias{Exprmclust,data.frame-method}
+\title{Performing Model-based clustering on expression values}
+\usage{
+Exprmclust(
+  object,
+  K = 3,
+  modelNames = "VVV",
+  reduce = TRUE,
+  cluster = NULL,
+  quiet = FALSE
+)
+
+\S4method{Exprmclust}{DISCBIO}(
+  object,
+  K = 3,
+  modelNames = "VVV",
+  reduce = TRUE,
+  cluster = NULL,
+  quiet = FALSE
+)
+
+\S4method{Exprmclust}{data.frame}(
+  object,
+  K = 3,
+  modelNames = "VVV",
+  reduce = TRUE,
+  cluster = NULL,
+  quiet = FALSE
+)
+}
+\arguments{
+\item{object}{\code{DISCBIO} class object.}
+
+\item{K}{An integer vector specifying all possible cluster numbers. Default
+is 3.}
+
+\item{modelNames}{model to be used in model-based clustering. By default
+"ellipsoidal, varying volume, shape, and orientation" is used.}
+
+\item{reduce}{A logical vector that allows performing the PCA on the
+expression data. Default is TRUE.}
+
+\item{cluster}{A vector showing the ID of cells in the clusters.}
+
+\item{quiet}{if `TRUE`, suppresses intermediary output}
+}
+\value{
+If `object` is of class DISCBIO, the output is the same object  with
+  the MBclusters slot filled. If the `object` is a data frame, the function
+  returns a named list containing the four objects that together correspond
+  to the contents of the MBclusters slot.
+}
+\description{
+this function first uses principal component analysis (PCA) to
+  reduce dimensionality of original data. It then performs model-based
+  clustering on the transformed expression values.
+}