--- a
+++ b/man/getSNF.Rd
@@ -0,0 +1,46 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/getSNF.R
+\name{getSNF}
+\alias{getSNF}
+\title{Get subtypes from SNF}
+\usage{
+getSNF(
+  data = NULL,
+  N.clust = NULL,
+  type = rep("gaussian", length(data)),
+  K = 30,
+  t = 20,
+  sigma = 0.5
+)
+}
+\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.}
+
+\item{K}{An integer value to indicate the number of neighbors in K-nearest neighbors part of the algorithm.}
+
+\item{t}{An integer value to indicate the number of interations for the diffusion process.}
+
+\item{sigma}{A numerical value to indicate the variance for local model.}
+}
+\value{
+A list with the following components:
+
+        \code{fit}       an object returned by \link[SNFtool]{SNF}.
+
+        \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 SNF (Similarity Network Fusion) algorithm and provides standard output for `getMoHeatmap()` and `getConsensusMOIC()`.
+}
+\examples{
+# There is no example and please refer to vignette.
+}
+\references{
+Wang B, Mezlini AM, Demir F, et al (2014). Similarity network fusion for aggregating data types on a genomic scale. Nat Methods, 11(3):333-337.
+}