ArticleBioinformatics (Oxford, England)2015
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers.
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Who cites it
212 citing papers in PubMed.
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- Normalization of nCounter Gene Expression Data Alters Molecular Diagnostics in Kidney Transplantation.Journal of the American Society of Nephrology : JASN · 2026Article
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- LAWS-HiC: A Locally Adaptive Weighting and Screening (LAWS) Approach to Improve Detection of Long-Range Chromatin Interactions from Hi-C Data.Methods and protocols · 2026Article
- ShapeME: A Tool and Web Front-end for De Novo Discovery of Structural Motifs Underpinning Protein-DNA Interactions.Journal of molecular biology · 2026Article
- Assessing the impact of parental linear gene normalization on the performance of statistical models for circular RNA differential expression analysis.Briefings in bioinformatics · 2026Article
- An interpretable early intensive care unit model for predicting in-hospital mortality in trauma patients combined with rib fractures: development and external validation.Journal of thoracic disease · 2026Article
- Explainable machine learning for the prediction of Alzheimer's disease-related cognitive impairment: a consensus feature selection approach.BMC medical informatics and decision making · 2026Article
- Plasma metabolomics and red blood cell fatty acid profiles in adolescent mental health.Comprehensive psychoneuroendocrinology · 2026Article
- Machine learning models for early mortality prediction in severe fever with thrombocytopenia syndrome.iScience · 2026Article
- Simplifying causal gene identification in GWAS loci.PLoS genetics · 2026Article
- Quantitative Histological Insights Into Sudden Arrhythmic Death Syndrome: Findings From a Forensic Autopsy Cohort.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026Article
- Evaluation of statistical differential analysis methods for identification of senescent cells using single-cell transcriptomics.Cell reports methods · 2026Article
- A structure-guided approach to noncoding variant evaluation for transcription factor binding using AlphaFold 3.Nucleic acids research · 2026Article
- Article
- Host traits and environmental factors shape infection heterogeneity in wild rat-protozoa networks.ISME communications · 2026Article
- Identifying Patients at High Risk of Lapses in Diabetic Retinopathy Care: A Machine Learning Study.Ophthalmology science · 2026Article
- Intracardiac thrombus formations despite continuous oral anticoagulation in atrial fibrillation patients undergoing catheter ablation procedures: pilot development of a machine learning prediction model.Frontiers in cardiovascular medicine · 2026Article
- Analysis of immune and autophagy-related genes and their regulatory mechanisms in osteoporosis patients post-menopause.Frontiers in endocrinology · 2026Article
152 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision-recall (PR) and receiver operating characteristic (ROC) curves are valuable measures of classifier performance. Here, we present the R-package PRROC, which allows for computing and visualizing both PR and ROC curves. In contrast to available R-packages, PRROC allows for computing PR and ROC curves and areas under these curves for soft-labeled data using a continuous interpolation between the points of PR curves. In addition, PRROC provides a generic plot function for generating publication-quality graphics of PR and ROC curves.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.