article Open AccessTop 1% cited
pROC: an open-source package for R and S+ to analyze and compare ROC curves
BMC Bioinformatics · 2011 · Vol. 12(1) · pp. 77–77
Xavier Robin✉(University of Geneva)Natacha TurckAlexandre HainardNatalia TibertiFrédérique Lisacek(SIB Swiss Institute of Bioinformatics)Jean-Charles SanchezMarkus Müller(SIB Swiss Institute of Bioinformatics)
Abstract
pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/ under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.
Imbalanced Data Classification TechniquesClinical Laboratory Practices and Quality ControlReliability and Agreement in MeasurementReceiver operating characteristicComputer scienceGraphical user interfaceSoftwareR packageData miningSmoothingInterface (matter)CutoffMachine learning
MeSH terms
Data Interpretation, StatisticalHumansProgramming LanguagesROC CurveSoftwareBiomarkersConfidence IntervalsComputational Biology
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