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Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization
ABSTRACT: Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013620/ https://www.ncbi.nlm.nih.gov/pubmed/27606011 http://dx.doi.org/10.1186/s13321-016-0158-y |
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author | Lätti, Sakari Niinivehmas, Sanna Pentikäinen, Olli T. |
author_facet | Lätti, Sakari Niinivehmas, Sanna Pentikäinen, Olli T. |
author_sort | Lätti, Sakari |
collection | PubMed |
description | ABSTRACT: Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also includes an automatic calculation of the AUC for the ROC curve and Boltzmann-enhanced discrimination of ROC (BEDROC). Furthermore, in virtual screening campaigns it is often important to understand the early enrichment of active ligand identification, for this Rocker offers automated calculation routine. To enable further development of Rocker, it is freely available (MIT-GPL license) for use and modifications from our web-site (http://www.jyu.fi/rocker). GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-5013620 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-50136202016-09-08 Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization Lätti, Sakari Niinivehmas, Sanna Pentikäinen, Olli T. J Cheminform Software ABSTRACT: Receiver operating characteristics (ROC) curve with the calculation of area under curve (AUC) is a useful tool to evaluate the performance of biomedical and chemoinformatics data. For example, in virtual drug screening ROC curves are very often used to visualize the efficiency of the used application to separate active ligands from inactive molecules. Unfortunately, most of the available tools for ROC analysis are implemented into commercially available software packages, or are plugins in statistical software, which are not always the easiest to use. Here, we present Rocker, a simple ROC curve visualization tool that can be used for the generation of publication quality images. Rocker also includes an automatic calculation of the AUC for the ROC curve and Boltzmann-enhanced discrimination of ROC (BEDROC). Furthermore, in virtual screening campaigns it is often important to understand the early enrichment of active ligand identification, for this Rocker offers automated calculation routine. To enable further development of Rocker, it is freely available (MIT-GPL license) for use and modifications from our web-site (http://www.jyu.fi/rocker). GRAPHICAL ABSTRACT: [Image: see text] Springer International Publishing 2016-09-07 /pmc/articles/PMC5013620/ /pubmed/27606011 http://dx.doi.org/10.1186/s13321-016-0158-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Lätti, Sakari Niinivehmas, Sanna Pentikäinen, Olli T. Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title | Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title_full | Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title_fullStr | Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title_full_unstemmed | Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title_short | Rocker: Open source, easy-to-use tool for AUC and enrichment calculations and ROC visualization |
title_sort | rocker: open source, easy-to-use tool for auc and enrichment calculations and roc visualization |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5013620/ https://www.ncbi.nlm.nih.gov/pubmed/27606011 http://dx.doi.org/10.1186/s13321-016-0158-y |
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