make_exports {bnlearn} R Documentation

export the virtual permutation result as csv table files

Description

Usage

make_exports(results, dir,
    pathway.info = NULL,
    top.n = 50);

Arguments

results

a collection of the in silico perturbation result, which can be a vector of the InterventionResult object, or a pipeline object that produces a set of the @T:SMRUCC.genomics.Analysis.BNLearn.Intervention.InterventionResult

dir

[as string]

pathway.info

an optional tuple list of the @T:SMRUCC.genomics.MetabolicModel.MetabolicPathway. [as list]

top.n

[as integer]

env

[as Environment]

Details

the generated csv table files in the given output directory:

  • foldchange_matrix.csv, percentchange_matrix.csv, significance_matrix.csv, zscore_matrix.csv, wildtype_means_matrix.csv, mutant_means_matrix.csv;

  • comprehensive_comparison.csv, condition_similarity.csv;

  • intervention_ranking.csv: the top n affected genes of each perturbation condition;

  • pathway_summary.csv and cross_impact_matrix.csv: these two table files will be generated only when the pathway_info parameter is provided.

Authors

biosystem

Value

TRUE will be returns if all of the result table files have been exported into the given directory successfully;

this function returns a R# error message object if the given data can not be cast to a collection of the InterventionResult data.

clr value class

  • any kind

Examples

[Package bnlearn version 1.0.0.0 Index]