{ "_id": "6a226f79cd65a98ecbd4834d", "Package": "Rmagpie", "Version": "1.69.0", "Title": "MicroArray Gene-expression-based Program In Error rate\nestimation", "Author": "Camille Maumet , with contributions from C.\nAmbroise J. Zhu", "Maintainer": "Camille Maumet ", "Description": "Microarray Classification is designed for both biologists\nand statisticians. It offers the ability to train a classifier\non a labelled microarray dataset and to then use that\nclassifier to predict the class of new observations. A range of\nmodern classifiers are available, including support vector\nmachines (SVMs), nearest shrunken centroids (NSCs)... Advanced\nmethods are provided to estimate the predictive error rate and\nto report the subset of genes which appear essential in\ndiscriminating between classes.", "License": "GPL (>= 3)", "LazyLoad": "yes", "URL": "http://www.bioconductor.org/", "biocViews": "Microarray, Classification", "collate": "AllClasses.R AllGenerics.R AllInitialize.R\nclassifyNewSamples.R convertDataFile.R assessment-accessors.R\nfeatureSelectionOptions-accessors.R finalClassifier-accessors.R\ngeneSubsets-accessors.R initialize-methods.R loadData-methods.R\nnon_linear_svm.R one_layer_ext_CV.R rateGenes.R\nresult2LayerCV-accessors.R resultRepeated1LayerCV-accessors.R\nrfe_zhu.R runOneLayerExtCV-methods.R runTwoLayerExtCV-methods.R\nsetValidity-methods.R show-methods.R thresholds-accessors.R\ntool_case.R two_layer_ext_CV.R typeValidity.R user_interface.R", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-04-28 12:33:54 UTC", "RemoteUrl": "https://github.com/bioc/Rmagpie", "RemoteRef": 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