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% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/test.data.2comp.R
\docType{data}
\name{test.data.2comp}
\alias{test.data.2comp}
\title{Simulated two-component test data}
\format{
An object of class \code{list} of length 5.
}
\usage{
test.data.2comp
}
\value{
A list with 5 elements (2 more elements when output.more.info =
TRUE), which are
\item{pi}{A matrix of estimated proportion. First row and second row
corresponds to the proportion estimate for the known components and unkown
component respectively for two or three component settings. Each column
corresponds to one sample.}
\item{Mu}{Simulated \eqn{Mu} of log2-normal distribution for both known
(\eqn{MuN1}) and unknown component (\eqn{MuT}).}
\item{Sigma}{Simulated \eqn{Sigma} of log2-normal distribution for both
known (\eqn{SigmaN1}) and unknown component (\eqn{SigmaT}).}
\item{data.Y}{A SummarizedExperiment object of expression data from mixed
tumor samples. It is a \eqn{G} by \eqn{My} matrix where \eqn{G} is the number
of genes and \eqn{My} is the number of mixed samples. Samples with the same
tissue type should be placed together in columns.}
\item{data.N1}{A SummarizedExperiment object of expression data
from reference component 1 (e.g., normal). It is a \eqn{G} by \eqn{M1} matrix
where \eqn{G} is the number of genes and \eqn{M1} is the number of samples
for component 1.}
\item{True.data.T}{A SummarizedExperiment object of simulated tumor expression
data. It is a \eqn{G} by \eqn{My} matrix, where \eqn{G} is the number of
genes and \eqn{My} is the number of mixed samples. This is shown only when
output.more.info = TRUE.}
\item{True.data.N1}{A SummarizedExperiment object of simulated true
expression data for reference component 1 (e.g., normal). It is a \eqn{G}
by \eqn{M1} matrix where \eqn{G} is the number of genes and \eqn{M1} is the
number of samples for component 1. This is shown only when
output.more.info = TRUE.}
}
\description{
A list of simulated two-component test data used in
DeMixT function. Expression data with 500 genes and 100 samples
are simulated.
}
\keyword{datasets}
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