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ROCPLOT: a generic software tool for ROC analysis and the validation of predictive methods.

Jon C Ison1, Matthew J Blades

  • 1European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK. jison@rfcgr.mrc.ac.uk

Applied Bioinformatics
|September 1, 2005
PubMed
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This study introduces ROCPLOT, a free, open-source software for Receiver Operating Characteristic (ROC) analysis. ROCPLOT provides numerical and graphical outputs to assess predictive method performance, aiding in sensitivity and specificity evaluation.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Statistical Analysis

Background:

  • Receiver Operating Characteristic (ROC) analysis is crucial for evaluating predictive methods.
  • A lack of accessible, generic, open-source software tools for ROC analysis exists.
  • This gap hinders the widespread application and comparison of predictive models.

Purpose of the Study:

  • To introduce ROCPLOT, a novel, generic, and open-source software tool for performing ROC analysis.
  • To provide researchers with a freely available solution for assessing predictive method performance.
  • To facilitate the interpretation and comparison of multiple predictive models.

Main Methods:

  • ROCPLOT processes one or more files of search results (hits).
  • The software generates ROC values, ROC plots, classification plots, and bar charts of ROC value distributions.

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  • It offers flexibility in processing data in series or parallel for combined or side-by-side comparisons.

    • Main Results:

    • ROCPLOT generates key outputs for ROC analysis: numerical ROC values and graphical ROC plots.
    • Classification plots are provided to aid in the interpretation of ROC plots and values.
    • A bar chart visualizes the distribution of ROC values, offering insights into method performance variability.

    Conclusions:

    • ROCPLOT addresses the need for a generic, open-source ROC analysis tool.
    • The software enhances the assessment and comparison of predictive methods through comprehensive outputs.
    • ROCPLOT is available as part of the European Molecular Biology Open Software Suite (EMBOSS).