Learn R Programming

qtlnet (version 1.5.4)

Pscdbp: Cross and qtlnet objects with Ghazalpour et al. (2006) data. Only 13 phenotypes are included.

Description

The R/qtl cross object was created from data at source. The qtlnet object was created using mcmc.qtlnet.

Usage

data(Pscdbp)
data(Pscdbp.qtlnet)

Arguments

References

Ghazalpour A, Doss S, Zhang B, Wang S, Plaisier C, Castellanos R, Brozell A, Schadt EE, Drake TA, Lusis AJ, Horvath S (2006) Integrating genetic and network analysis to characterize genes related to mouse weight. PLoS Genetics 2: e130-NA. http://dx.doi.org/10.1371/journal.pgen.0020130

Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical Models in Systems Genetics: a unified framework for joint inference of causal network and genetic architecture for correlated phenotypes. Ann Appl Statist 4: 320-339. http://dx.doi.org/10.1214/09-AOAS288

See Also

read.cross, mcmc.qtlnet

Examples

Run this code
# NOT RUN {
summary(Pscdbp)
# }
# NOT RUN {
summary(Pscdbp.qtlnet)
# }

Run the code above in your browser using DataLab