RDocumentation
Moon
Learn R
Search all packages and functions
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.
Copy Link
Copy
Link to current version
Version
Version
2.0.1
2.0.0
1.0.0
Down Chevron
Install
install.packages('geneNetBP')
Monthly Downloads
24
Version
2.0.1
License
GPL-2
Maintainer
Janhavi Moharil
Last Published
August 3rd, 2016
Functions in geneNetBP (2.0.1)
Search functions
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