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geneNetBP (version 2.0.1)

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.

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Version

Install

install.packages('geneNetBP')

Monthly Downloads

15

Version

2.0.1

License

GPL-2

Maintainer

Janhavi Moharil

Last Published

August 3rd, 2016

Functions in geneNetBP (2.0.1)

absorb-methods

Absorb evidence and propagate beliefs in a genotype-phenotype network
mouse

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

Mus Musculus HDL QTL data from Leduc et. al. (2012)
gen.evidence

Generate a sequence of evidence for a continuous node in a conditional gaussian bayesian network.
fit-methods

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

Toy example dataset
yeast

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

Plot a Genotype-Phenotype Network
geneNetBP-package

Belief Propagation in Genotype-Phenotype Networks