This package integrates literature-constrained and data-driven methods to infer signalling networks from perturbation experiments. It permits to extends a given network with links derived from the data via various inference methods and uses information on physical interactions of proteins to guide and validate the integration of links.
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Binference: Bayesian network inference
CNORfeeder-package: R package to integrate literature-constrained and data-driven...
gaBinaryT1W: Genetic algorithm used to optimise a model differently...
linksRanking: Ranking of links inferred from data
makeBTables: Make Boolean tables
mapBTables2model: Integrate Boolean tables with the model
mapDDN2model: Integrate data-drive network with the model
MIinference: Mutual information based network inference
PPINigraph: Protein-protein interaction netwrok
UniprotIDdream: Uniprot identifiers for proteins in DreamModel
weighting: Weight integrated links.