--- a
+++ b/man/LRAcluster.Rd
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+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/LRAcluster.R
+\name{LRAcluster}
+\alias{LRAcluster}
+\title{integrated analysis of cancer omics data by low-rank approximation}
+\usage{
+LRAcluster(data, types, dimension = 2, names = as.character(1:length(data)))
+}
+\arguments{
+\item{data}{a list of data matrix,please keep the columns are the same order of samples}
+
+\item{types}{a list of data types, can be binary, gaussian, or poisson}
+
+\item{dimension}{the reduced dimension}
+
+\item{names}{data names}
+}
+\value{
+A list contains the following component:
+
+        \code{coordinate} A matrix of the coordinates of all the samples in the reduced space
+
+        \code{potential}  ratio of explained variance
+}
+\description{
+The LRAcluster function is the main interface of this package, it gets a list of matrix as input and outputs the coordinates of the samples in the reduced space and the explained potential.
+}
+\references{
+Wu D, Wang D, Zhang MQ, Gu J (2015). Fast dimension reduction and integrative clustering of multi-omics data using low-rank approximation: application to cancer molecular classification. BMC Genomics, 16(1):1022.
+}
+\author{
+Dingming Wu, Dongfang Wang
+}
+\keyword{internal}