Skip Navigation


Bioinformatics Advance Access originally published online on August 11, 2005
Bioinformatics 2005 21(20):3940-3941; doi:10.1093/bioinformatics/bti623
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (Print PDF) Freely available
Right arrow All Versions of this Article:
21/20/3940    most recent
bti623v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (39)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Sing, T.
Right arrow Articles by Lengauer, T.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Sing, T.
Right arrow Articles by Lengauer, T.
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oxfordjournals.org

ROCR: visualizing classifier performance in R

Tobias Sing 1,*, Oliver Sander 1, Niko Beerenwinkel 2 and Thomas Lengauer 1

1Department of Computational Biology and Applied Algorithmics, Max-Planck-Institute for Informatics Stuhlsatzenhausweg 85, 66123 Saarbrücken, Germany
2Department of Mathematics, University of California Berkeley, CA 94720-3840, USA

*To whom correspondence should be addressed.

Summary: ROCR is a package for evaluating and visualizing the performance of scoring classifiers in the statistical language R. It features over 25 performance measures that can be freely combined to create two-dimensional performance curves. Standard methods for investigating trade-offs between specific performance measures are available within a uniform framework, including receiver operating characteristic (ROC) graphs, precision/recall plots, lift charts and cost curves. ROCR integrates tightly with R's powerful graphics capabilities, thus allowing for highly adjustable plots. Being equipped with only three commands and reasonable default values for optional parameters, ROCR combines flexibility with ease of usage.

Availability: http://rocr.bioinf.mpi-sb.mpg.de. ROCR can be used under the terms of the GNU General Public License. Running within R, it is platform-independent.

Contact: tobias.sing{at}mpi-sb.mpg.de

Received on March 10, 2005; revised on June 1, 2005; accepted on August 9, 2005

Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
 Eur Heart JHome page
B. Beleslin, M. Ostojic, A. Djordjevic-Dikic, V. Vukcevic, S. Stojkovic, M. Nedeljkovic, G. Stankovic, D. Orlic, N. Milic, J. Stepanovic, et al.
The value of fractional and coronary flow reserve in predicting myocardial recovery in patients with previous myocardial infarction
Eur. Heart J., September 30, 2008; (2008) ehn418v1.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
S. S. F. Lee, L. Sun, R. Kustra, and S. B. Bull
EM-random forest and new measures of variable importance for multi-locus quantitative trait linkage analysis
Bioinformatics, July 15, 2008; 24(14): 1603 - 1610.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
L. D. Ward and H. J. Bussemaker
Predicting functional transcription factor binding through alignment-free and affinity-based analysis of orthologous promoter sequences
Bioinformatics, July 1, 2008; 24(13): i165 - i171.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
M. T. Dittrich, G. W. Klau, A. Rosenwald, T. Dandekar, and T. Muller
Identifying functional modules in protein-protein interaction networks: an integrated exact approach
Bioinformatics, July 1, 2008; 24(13): i223 - i231.
[Abstract] [Full Text] [PDF]

Home page
 Nucleic Acids ResHome page
N. F. W. Saunders and B. Kobe
The Predikin webserver: improved prediction of protein kinase peptide specificity using structural information
Nucleic Acids Res., July 1, 2008; 36(suppl_2): W286 - W290.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Cancer Res.Home page
X.-J. Ma, R. Salunga, S. Dahiya, W. Wang, E. Carney, V. Durbecq, A. Harris, P. Goss, C. Sotiriou, M. Erlander, et al.
A Five-Gene Molecular Grade Index and HOXB13:IL17BR Are Complementary Prognostic Factors in Early Stage Breast Cancer
Clin. Cancer Res., May 1, 2008; 14(9): 2601 - 2608.
[Abstract] [Full Text] [PDF]

Home page
 NEJMHome page
S. Kathiresan, O. Melander, D. Anevski, C. Guiducci, N. P. Burtt, C. Roos, J. N. Hirschhorn, G. Berglund, B. Hedblad, L. Groop, et al.
Polymorphisms Associated with Cholesterol and Risk of Cardiovascular Events
N. Engl. J. Med., March 20, 2008; 358(12): 1240 - 1249.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
J. Bernauer, R. P. Bahadur, F. Rodier, J. Janin, and A. Poupon
DiMoVo: a Voronoi tessellation-based method for discriminating crystallographic and biological protein-protein interactions
Bioinformatics, March 1, 2008; 24(5): 652 - 658.
[Abstract] [Full Text] [PDF]

Home page
 Clin. Cancer Res.Home page
A. Holyoake, P. O'Sullivan, R. Pollock, T. Best, J. Watanabe, Y. Kajita, Y. Matsui, M. Ito, H. Nishiyama, N. Kerr, et al.
Development of a Multiplex RNA Urine Test for the Detection and Stratification of Transitional Cell Carcinoma of the Bladder
Clin. Cancer Res., February 1, 2008; 14(3): 742 - 749.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
I. Sommer, O. Muller, F. S. Domingues, O. Sander, J. Weickert, and T. Lengauer
Moment invariants as shape recognition technique for comparing protein binding sites
Bioinformatics, December 1, 2007; 23(23): 3139 - 3146.
[Abstract] [Full Text] [PDF]

Home page
 JAMAHome page
J. Robbins, A. K. Aragaki, C. Kooperberg, N. Watts, J. Wactawski-Wende, R. D. Jackson, M. S. LeBoff, C. E. Lewis, Z. Chen, M. L. Stefanick, et al.
Factors Associated With 5-Year Risk of Hip Fracture in Postmenopausal Women
JAMA, November 28, 2007; 298(20): 2389 - 2398.
[Abstract] [Full Text] [PDF]

Home page
 JCOHome page
K. J. Vogel, D. P. Atchley, J. Erlichman, K. R. Broglio, K. J. Ready, V. Valero, C. I. Amos, G. N. Hortobagyi, K. H. Lu, and B. Arun
BRCA1 and BRCA2 Genetic Testing in Hispanic Patients: Mutation Prevalence and Evaluation of the BRCAPRO Risk Assessment Model
J. Clin. Oncol., October 10, 2007; 25(29): 4635 - 4641.
[Abstract] [Full Text] [PDF]

Home page
 Protein Eng Des SelHome page
A. Pandini, G. Mauri, A. Bordogna, and L. Bonati
Detecting similarities among distant homologous proteins by comparison of domain flexibilities
Protein Eng. Des. Sel., June 30, 2007; (2007) gzm021v2.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
C. D. Fjell, R. E.W. Hancock, and A. Cherkasov
AMPer: a database and an automated discovery tool for antimicrobial peptides
Bioinformatics, May 1, 2007; 23(9): 1148 - 1155.
[Abstract] [Full Text] [PDF]

Home page
 BioinformaticsHome page
X. Guo, R. Liu, C. D. Shriver, H. Hu, and M. N. Liebman
Assessing semantic similarity measures for the characterization of human regulatory pathways
Bioinformatics, April 15, 2006; 22(8): 967 - 973.
[Abstract] [Full Text] [PDF]


Disclaimer:
Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.