The package offers four network inference statistical models using Dynamic Bayesian Networks and Gibbs Variable Selection: a linear interaction model, two linear interaction models with added experimental noise (Gaussian and Student distributed) for the case where replicates are available and a non-linear interaction model.
|Bioconductor views||Bayesian GeneExpression GeneRegulation GraphAndNetwork Network NetworkInference TimeCourse|
|Maintainer||Edward Morrissey <firstname.lastname@example.org>|
|License||GPL (>= 2)|
|Package repository||View on Bioconductor|
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