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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.
Package details |
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| Author | Edward Morrissey |
| Bioconductor views | Bayesian GeneExpression GeneRegulation GraphAndNetwork Network NetworkInference TimeCourse |
| Maintainer | Edward Morrissey <edward.morrissey@gmail.com> |
| License | GPL (>= 2) |
| Version | 1.42.0 |
| Package repository | View on Bioconductor |
| Installation |
Install the latest version of this package by entering the following in R:
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