Learn R Programming
⚠️There's a newer version (2.0.1) of this package.Take me there.

geneNetBP (version 2.0.0)

Belief Propagation in Genotype-Phenotype Networks

Description

Belief propagation methods in genotype-phenotype networks (Conditional Gaussian and Discrete Bayesian Networks) to propagate phenotypic evidence through the network.

Copy Link

Version

Install

install.packages('geneNetBP')

Monthly Downloads

6

Version

2.0.0

License

GPL-2

Maintainer

Janhavi Moharil

Last Published

May 14th, 2016

Functions in geneNetBP (2.0.0)

toy

Toy example dataset
hdl

Mus Musculus HDL QTL data from Leduc et. al. (2012)
fit-methods

Fit a Conditional Gaussian Bayesian Network or Discrete Bayesian Network to QTL data
mouse

Mus Musculus Kidney eQTL data from Hageman et. al. (2011)
plot methods

Plot a Genotype-Phenotype Network
yeast

Saccharomyces Cerevisiae eQTL data from Kruglak et. al. (2005)
absorb-methods

Absorb evidence and propagate beliefs in a genotype-phenotype network
gen.evidence

Generate a sequence of evidence for a continuous node in a conditional gaussian bayesian network.
geneNetBP-package

Belief Propagation in Genotype-Phenotype Networks