Scientific article
Open access

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

Published inBMC bioinformatics, vol. 12, 77
Publication date2011

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.

  • Biological Markers/analysis
  • Computational Biology/methods
  • Confidence Intervals
  • Data Interpretation, Statistical
  • Humans
  • Programming Languages
  • ROC Curve
  • Software
Citation (ISO format)
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
Main files (1)
Article (Published version)
ISSN of the journal1471-2105

Technical informations

Creation11/09/2012 11:06:00 AM
First validation11/09/2012 11:06:00 AM
Update time03/14/2023 7:56:22 PM
Status update03/14/2023 7:56:22 PM
Last indexation08/29/2023 5:36:31 AM
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