2017
exprso: an R-package for the rapid implementation of machine learning algorithms
Quinn T, Tylee D, Glatt S. exprso: an R-package for the rapid implementation of machine learning algorithms. F1000Research 2017, 5: 2588. PMID: 29560250, PMCID: PMC5832912, DOI: 10.12688/f1000research.9893.2.Peer-Reviewed Original ResearchNon-expert programmersObject-oriented frameworkMulti-class classificationHigh-dimensional dataMachine learningEnsemble classificationIntuitive machineCross-validation schemeR packageFeature selectionNew R packageProgrammersInterchangeable modulesGeneralizable modelMachineClassificationRapid implementationModuleAlgorithmLearningImplementationPipelineSchemeFrameworkPrediction
2016
exprso: an R-package for the rapid implementation of machine learning algorithms
Quinn T, Tylee D, Glatt S. exprso: an R-package for the rapid implementation of machine learning algorithms. F1000Research 2016, 5: 2588. DOI: 10.12688/f1000research.9893.1.Peer-Reviewed Original ResearchNon-expert programmersObject-oriented frameworkMulti-class classificationHigh-dimensional dataNative supportMachine learningEnsemble classificationIntuitive machineCross-validation schemeR packageFeature selectionBinary classifierNew R packageSimplicity of useProgrammersInterchangeable modulesMachineGeneralizable modelClassificationRapid implementationModuleClassifierSuiteAlgorithmLearning
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