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ROCR specifications


Unique identifier OMICS_17529
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS, Windows
Programming languages R
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Source code URL
Maintained Yes




No version available



  • person_outline Tobias Sing

Publication for ROCR

ROCR citations


Classification driven framework to predict maize hybrid field performance from metabolic profiles of young parental roots

PLoS One
PMCID: 5919381
PMID: 29698533
DOI: 10.1371/journal.pone.0196038

[…] ‘pROC’ []. The precision-recall curves were computed for each of the different models, based on the class probabilities attributed to the hybrids in the corresponding test sets, using the R package ‘ROCR’ []. The entire modeling was conducted using the R package ‘caret’ []. […]


Prediction of Return to original work after an Industrial Accident Using Machine Learning and Comparison of Techniques

PMCID: 5934520
PMID: 29736160
DOI: 10.3346/jkms.2018.33.e144
call_split See protocol

[…] 10 iterations of the same procedure after random allocation of training/test datasets with different seed numbers.All analyses were performed in R, version 3.4.2 (R Foundation). The R packages caret, ROCR, rpart, rpart.plot, e1071, kernlab, and randomForest were used. […]


Cross species inference of long non coding RNAs greatly expands the ruminant transcriptome

PMCID: 5926538
PMID: 29690875
DOI: 10.1186/s12711-018-0391-0

[…] ng sheep-specific coding and non-coding CPAT training data, from Oar v3.1 CDS and ncRNA, this cut-off is the intersection of two receiver operating characteristic curves, obtained using the R package ROCR []; this cut-off is also used for the goat data, as there are insufficient non-coding training data for this species).For each remaining gene model, we concatenated its exon sequence and identifi […]


Automated Morphological Analysis of Microglia After Stroke

PMCID: 5917008
PMID: 29725290
DOI: 10.3389/fncel.2018.00106

[…] All statistical analyses and data visualizations were performed in RStudio (RStudio Team, ) using R version 3.2.2 (R Core Team, ) and the packages ROCR (Sing et al., ), plyr (Wickham, ), beeswarm (Eklund, ), and corrplot (Wei, ). A Wilcoxon rank sum test with continuity correction was applied for group comparisons unless otherwise specified in t […]


Differences in DNA Methylation and Functional Expression in Lactase Persistent and Non persistent Individuals

Sci Rep
PMCID: 5884863
PMID: 29618745
DOI: 10.1038/s41598-018-23957-4

[…] k performances we used the coefficient of variation R2 between predicted and true enzymatic activity levels as well as the AUC for the bivariate response. ROC curves and AUC were calculated using the ROCR package. All analyses were performed using the statistical program language R. […]


First Evaluation of Infrared Thermography as a Tool for the Monitoring of Udder Health Status in Farms of Dairy Cows

PMCID: 5877300
PMID: 29538352
DOI: 10.3390/s18030862

[…] for each possible threshold used to evaluate the variable Tmax. For this, a receiver operating characteristic (ROC) curve was build using the procedures “prediction” and “performance” of the package “ROCR” (version 1.0.7—[]). Analyzing the curve, a specific cutoff was selected and the corresponding couple of sensitivity and specificity was identified as final performance reached by the variable Tm […]


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ROCR institution(s)
Department of Computational Biology and Applied Algorithmics, Max-Planck-Institute for Informatics, Saarbrucken, Germany; Department of Mathematics, University of California, Berkeley, CA, USA
ROCR funding source(s)
Supported by EU NoE BioSapiens (LSHG-CT-2003- 503265).

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