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#' Mus Musculus HDL QTL data from Leduc et. al. (2012)
#'
#' Liver QTL data was obtained from a F2 inner-cross between inbred MRL/MpJ and SM/J
#' strains of mice.
#'
#' @name liver
#' @usage
#' data(liver)
#' @format The data set \code{liver} contains three objects: the data, a learned Bayesian network structure
#' and \code{vector} specifying node type. The fields are described as follows:
#'
#' \describe{
#' \item{\code{data}}{a \code{data.frame} object that contains 280 samples (rows) and 15 variables: genotype data
#' (genotype states at 5 SNP markers) and phenotype data (HDL levels and normalized expression values of 10 genes).
#' Three of these phenotypes are dichotomized, including Cyp2b10, Spgl1 and HDL. Genotypes and dichotomized phenotypes
#' are of class \code{factor} and continuous phenotypes are of class \code{numeric}.}
#' \item{\code{dag}}{a \code{graphNEL} object, which is the network structure learned by \code{qtlnet} package.}
#' \item{\code{node.class}}{a named \code{vector} of \code{logical} values indicating whether each node is discrete.}
#' }
#'
#' @docType data
#'
#' @references Leduc MS, Blair RH, Verdugo RA, Tsaih SW, Walsh K, Churchill GA, Paigen B.(2012).
#' "Using bioinformatics and systems genetics to dissect HDL-cholesterol genetics in an MRL/MpJ
#' x SM/J intercross." J Lipid Res., 6, 1163-75.
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