--- a
+++ b/man/getCIMLR.Rd
@@ -0,0 +1,45 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/getCIMLR.R
+\name{getCIMLR}
+\alias{getCIMLR}
+\title{Get subtypes from CIMLR}
+\usage{
+getCIMLR(
+  data = NULL,
+  N.clust = NULL,
+  type = rep("gaussian", length(data)),
+  cores.ratio = 0,
+  verbose = TRUE
+)
+}
+\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{cores.ratio}{Ratio of the number of cores to be used when computing the multi-kernel.}
+
+\item{verbose}{A logic value to indicate if supressing progression.}
+}
+\value{
+A list with the following components:
+
+        \code{fit}       an object returned by \link[CIMLR]{CIMLR}.
+
+        \code{clust.res} a data.frame storing sample ID and corresponding clusters.
+
+        \code{feat.res}  the results of features selection process.
+
+        \code{mo.method} a string value indicating the method used for multi-omics integrative clustering.
+}
+\description{
+This function wraps the CIMLR (Cancer Integration via Multikernel Learning) algorithm and provides standard output for `getMoHeatmap()` and `getConsensusMOIC()`.
+}
+\examples{
+# There is no example and please refer to vignette.
+}
+\references{
+Ramazzotti D, Lal A, Wang B, Batzoglou S, Sidow A (2018). Multi-omic tumor data reveal diversity of molecular mechanisms that correlate with survival. Nat Commun, 9(1):4453.
+}