Scientific article
Meta-analysis
OA Policy
English

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

Published inBMC bioinformatics, vol. 12, 77
Publication date2011
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/analysis
  • Computational Biology/methods
  • Confidence Intervals
  • Data Interpretation, Statistical
  • Humans
  • Programming Languages
  • ROC Curve
  • Software
Research groups
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)
Identifiers
Journal ISSN1471-2105
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491downloads

Technical informations

Creation09/11/2012 11:06:00
First validation09/11/2012 11:06:00
Update time09/01/2025 17:09:59
Status update09/01/2025 17:09:59
Last indexation09/01/2025 17:13:07
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