--- a
+++ b/man/getIntNMF.Rd
@@ -0,0 +1,33 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/getIntNMF.R
+\name{getIntNMF}
+\alias{getIntNMF}
+\title{Get subtypes from IntNMF}
+\usage{
+getIntNMF(data = NULL, N.clust = NULL, type = rep("gaussian", length(data)))
+}
+\arguments{
+\item{data}{List of matrices.}
+
+\item{N.clust}{Number of clusters.}
+
+\item{type}{Data type corresponding to the list of matrics, which can be gaussian, binomial or possion.}
+}
+\value{
+A list with the following components:
+
+        \code{fit}       an object returned by \link[IntNMF]{nmf.mnnals}.
+
+        \code{clust.res} a data.frame storing sample ID and corresponding clusters.
+
+        \code{mo.method} a string value indicating the method used for multi-omics integrative clustering.
+}
+\description{
+This function wraps the IntNMF (Integrative Clustering via Non-negative Matrix Factorization) algorithm and provides standard output for `getMoHeatmap()` and `getConsensusMOIC()`.
+}
+\examples{
+# There is no example and please refer to vignette.
+}
+\references{
+Chalise P, Fridley BL (2017). Integrative clustering of multi-level omic data based on non-negative matrix factorization algorithm. PLoS One, 12(5):e0176278.
+}