Package: geNetClassifier 1.47.0

Sara Aibar

geNetClassifier: Classify diseases and build associated gene networks using gene expression profiles

Comprehensive package to automatically train and validate a multi-class SVM classifier based on gene expression data. Provides transparent selection of gene markers, their coexpression networks, and an interface to query the classifier.

Authors:Sara Aibar, Celia Fontanillo and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center. Salamanca. Spain.

geNetClassifier_1.47.0.tar.gz
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geNetClassifier.pdf |geNetClassifier.html
geNetClassifier/json (API)
NEWS

# Install 'geNetClassifier' in R:
install.packages('geNetClassifier', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:geNetClassifier-1.47.0(bioc 3.21)geNetClassifier-1.46.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

classificationdifferentialexpressionmicroarray

4.38 score 2 packages 1 scripts 397 downloads 2 mentions 29 exports 12 dependencies

Last updated 2 months agofrom:fc4565d4ee. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 29 2024
R-4.5-winNOTENov 29 2024
R-4.5-linuxNOTENov 29 2024
R-4.4-winNOTENov 29 2024
R-4.4-macNOTENov 29 2024
R-4.3-winNOTENov 29 2024
R-4.3-macNOTENov 29 2024

Exports:calculateGenesRankingexternalValidation.probMatrixexternalValidation.statsgClassesgenesDetailsgeNetClassifiergetEdgesgetNodesgetNumEdgesgetNumNodesgetRankinggetSubNetworkgetTopRankinginitializenetwork2txtnumGenesnumSignificantGenesoverviewplot.GenesNetworkplot.GenesRankingplot.GeNetClassifierReturnplotAssignmentsplotDiscriminantPowerplotExpressionProfilesplotNetworkqueryGeNetClassifierquerySummarysetPropertiesshow

Dependencies:BiobaseBiocGenericsclassclustere1071EBarraysgenericsinfotheolatticeMASSminetproxy

geNetClassifier-vignette

Rendered fromgeNetClassifier-vignette.Rnwusingutils::Sweaveon Nov 29 2024.

Last update: 2018-08-30
Started: 2013-03-29

Readme and manuals

Help Manual

Help pageTopics
classify diseases and build associated gene networks using gene expression profilesgeNetClassifier-package
Calculate GenesRankingcalculateGenesRanking
Probability matrix.externalValidation.probMatrix
Statistics of the external validation.externalValidation.stats
Classes in the ranking.gClasses gClasses,GenesRanking-method gClasses-methods
Class "GeneralizationError" (slot of GeNetClassifierReturn)GeneralizationError GeneralizationError-class initialize,GeneralizationError-method show,GeneralizationError-method
Details of the genes in the network.genesDetails genesDetails,GenesRanking-method genesDetails-methods genesDetails.GenesRanking
Class "GenesNetwork"GenesNetwork GenesNetwork-class initialize,GenesNetwork-method show,GenesNetwork-method
Class "GenesRanking"extractGenes,GenesRanking-method GenesRanking GenesRanking-class initialize,GenesRanking-method show,GenesRanking-method
Gene symbols associated to human Ensemble IDs.geneSymbols
Main function of the geNetClassifier package. Trains the multi-class SVM classifier based on the given gene expression data through transparent detection of gene markers and their associated networks.geNetClassifier
Class "GeNetClassifierReturn"GeNetClassifierReturn GeNetClassifierReturn-class getSlots,GeNetClassifierReturn-method initialize,GeNetClassifierReturn-method names,GeNetClassifierReturn-method show,GeNetClassifierReturn-method
Edges in the network.edges,GenesNetwork-method getEdges getEdges,GenesNetwork-method getEdges-methods
Nodes in the network.getNodes getNodes,GenesNetwork-method getNodes-methods nodes,GenesNetwork-method
Number of edges in the network.getNumEdges getNumEdges,GenesNetwork-method getNumEdges-methods numEdges,GenesNetwork-method
Number of nodes in the network.getNumNodes getNumNodes,GenesNetwork-method getNumNodes-methods numNodes,GenesNetwork-method
Shows the genes ranking.getRanking getRanking,GenesRanking-method getRanking-methods getRanking.GenesRanking
Get a sub-network.getSubNetwork getSubNetwork,GenesNetwork-method getSubNetwork,GeNetClassifierReturn-method getSubNetwork,list-method getSubNetwork,NULL-method getSubNetwork-methods
Gets a new ranking with the given top genes.getTopRanking getTopRanking,GenesRanking-method getTopRanking-methods getTopRanking.GenesRanking
Sample leukemias classifierleukemiasClassifier
network2txtnetwork2txt network2txt,GenesNetwork-method network2txt,list-method network2txt-methods
Number of genes in the genesRanking.numGenes numGenes,GenesRanking-method numGenes-methods
Number of ranked genes over the posterior probability threshold.numSignificantGenes numSignificantGenes,GenesRanking-method numSignificantGenes-methods numSignificantGenes.GenesRanking
Overviewoverview overview,GeneralizationError-method overview,GenesNetwork-method overview,GenesRanking-method overview,GeNetClassifierReturn-method overview-methods
Plot GenesRankingplot,GenesRanking-method plot.GenesRanking plotGenesRanking
Plot GeNetClassifierReturnplot,GeNetClassifierReturn-method plot.GeNetClassifierReturn plotGeNetClassifierReturn plotGeNetClassifierReturn,GeNetClassifierReturn-method
Plot assignment probabilitiesplotAssignments
Plots the genes' Discriminant Power.plotDiscriminantPower
Expression profiles plot.plotExpressionProfiles
Plot GenesNetworkplot,GenesNetwork-method plot.GenesNetwork plotNetwork plotNetwork,GenesNetwork-method
Queries the classifier trained with geNetClassifier.queryGeNetClassifier
Summary of the query.querySummary
Set propertiessetProperties setProperties,GenesRanking-method setProperties-methods setProperties.GenesRanking