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pROC: an open-source package for R and S+ to analyze and compare ROC curves

Published in BMC bioinformatics. 2011, vol. 12, 77
Abstract Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface.
Keywords Biological Markers/analysisComputational Biology/methodsConfidence IntervalsData Interpretation, StatisticalHumansProgramming LanguagesROC CurveSoftware
PMID: 21414208
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Research group Groupe de Recherche Translationnelle en Biomarqueurs (635)
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ROBIN, Xavier Arnaud et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. In: BMC bioinformatics, 2011, vol. 12, p. 77. doi: 10.1186/1471-2105-12-77 https://archive-ouverte.unige.ch/unige:25414

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Deposited on : 2013-01-11

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