Package: BioNet 1.65.0
Marcus Dittrich
BioNet: Routines for the functional analysis of biological networks
This package provides functions for the integrated analysis of protein-protein interaction networks and the detection of functional modules. Different datasets can be integrated into the network by assigning p-values of statistical tests to the nodes of the network. E.g. p-values obtained from the differential expression of the genes from an Affymetrix array are assigned to the nodes of the network. By fitting a beta-uniform mixture model and calculating scores from the p-values, overall scores of network regions can be calculated and an integer linear programming algorithm identifies the maximum scoring subnetwork.
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BioNet.pdf |BioNet.html✨
BioNet/json (API)
# Install 'BioNet' in R: |
install.packages('BioNet', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- pvaluesExample - Example p-values for aggregation statistics
On BioConductor:BioNet-1.65.0(bioc 3.20)BioNet-1.64.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:63db8f8d51
Exports:aggrPvalsbumOptimcompareNetworksconsensusScoresfbumfbumLLfdrThresholdfitBumModelgetCompScoresgetEdgeListhist.bumlargestComplargestScoreComploadNetwork.sifloadNetwork.tabmakeNetworkmapByVarpermutateNodespiUpperplot.bumplot3dModuleplotLLSurfaceplotModuleprint.bumreadHeinzGraphreadHeinzTreeresamplingPvaluesrmSelfLoopsrunFastHeinzrunHeinzsave3dModulesaveNetworkscanFDRscoreFunctionscoreNodesscoreOffsetsortedEdgeListsubNetworksummary.bumwriteHeinzwriteHeinzEdgeswriteHeinzNodes
Dependencies:AnnotationDbiaskpassBHBiobaseBiocGenericsBiostringsbitbit64blobcachemclicpp11crayoncurlDBIfastmapGenomeInfoDbGenomeInfoDbDatagluegraphhttrigraphIRangesjsonliteKEGGRESTlatticelifecyclemagrittrMatrixmemoisemimeopensslpkgconfigplogrpngR6RBGLrlangRSQLiteS4VectorssysUCSC.utilsvctrsXVectorzlibbioc