liver {BayesNetBP}R Documentation

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.




The data set liver contains three objects: the data, a learned Bayesian network structure and vector specifying node type. The fields are described as follows:


a 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 factor and continuous phenotypes are of class numeric.


a graphNEL object, which is the network structure learned by qtlnet package.


a named vector of logical values indicating whether each node is discrete.


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.

[Package BayesNetBP version 1.5.9 Index]