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
2015
funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types
Oros Klein K, Grinek S, Bernatsky S, Bouchard L, Ciampi A, Colmegna I, Fortin JP, Gao L, Hivert MF, Hudson M, Kobor MS, Labbe A, MacIsaac JL, Meaney MJ, Morin AM, O'Donnell KJ, Pastinen T, Van Ijzendoorn MH, Voisin G, Greenwood CM. funtooNorm: an R package for normalization of DNA methylation data when there are multiple cell or tissue types. Bioinformatics 2015, 32: 593-595. PMID: 26500152, PMCID: PMC4743629, DOI: 10.1093/bioinformatics/btv615.Peer-Reviewed Original ResearchConceptsMethylation patternsIllumina Infinium Human Methylation450 BeadChipDNA methylation patternsBenefits of cellsDNA methylation dataTissue typesR packageInter-tissue variabilityMethylation dataChromosome XCell typesNew R packageNormalization of dataMore cellsCellsMultiple cellsCross-validated errorBeadChipBioconductor
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply