pROC: an open-source package for R and S+ to analyze and compare ROC curves
Xavier Robin,Natacha Turck,Alexandre Hainard,Natalia Tiberti,Frédérique Lisacek,Jean-Charles Sanchez,Markus Müller +6 more
TLDR
pROC as mentioned in this paper is a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface.Abstract:
Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface. With data previously imported into the R or S+ environment, the pROC package builds ROC curves and includes functions for computing confidence intervals, statistical tests for comparing total or partial area under the curve or the operating points of different classifiers, and methods for smoothing ROC curves. Intermediary and final results are visualised in user-friendly interfaces. A case study based on published clinical and biomarker data shows how to perform a typical ROC analysis with pROC. pROC is a package for R and S+ specifically dedicated to ROC analysis. It proposes multiple statistical tests to compare ROC curves, and in particular partial areas under the curve, allowing proper ROC interpretation. pROC is available in two versions: in the R programming language or with a graphical user interface in the S+ statistical software. It is accessible at http://expasy.org/tools/pROC/
under the GNU General Public License. It is also distributed through the CRAN and CSAN public repositories, facilitating its installation.read more
Citations
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Journal ArticleDOI
Predicting outcome in traumatic brain injury: development of a novel computerized tomography classification system (Helsinki computerized tomography score).
TL;DR: Use of the novel HelsinkiCT score improved outcome prediction accuracy, and the Helsinki CT score is a feasible alternative to the Rotterdam and Marshall CT systems.
Journal ArticleDOI
Shotgun transcriptome, spatial omics, and isothermal profiling of SARS-CoV-2 infection reveals unique host responses, viral diversification, and drug interactions.
Daniel Butler,Christopher Mozsary,Cem Meydan,Jonathan Foox,Joel Rosiene,Alon Shaiber,David Danko,Ebrahim Afshinnekoo,Matthew MacKay,Fritz J. Sedlazeck,Nikolay A. Ivanov,Maria A. Sierra,Diana Pohle,Michael Zietz,Undina Gisladottir,Vijendra Ramlall,Evan Sholle,Edward J. Schenck,Craig Westover,Ciaran Hassan,Krista Ryon,Benjamin Young,Chandrima Bhattacharya,Dianna Ng,Andrea Granados,Yale A. Santos,Venice Servellita,Scot Federman,P. Ruggiero,Arkarachai Fungtammasan,Chen-Shan Chin,Nathaniel M. Pearson,Bradley W. Langhorst,Nathan A. Tanner,Youngmi Kim,Jason Reeves,Tyler Hether,Sarah Warren,Michael Bailey,Justyna Gawrys,Dmitry Meleshko,Dong Xu,Mara Couto-Rodriguez,Dorottya Nagy-Szakal,Joseph E. Barrows,Heather L. Wells,Niamh B. O’Hara,Jeffrey A. Rosenfeld,Ying Chen,Peter A D Steel,Amos J Shemesh,Jenny Xiang,Jean Thierry-Mieg,Danielle Thierry-Mieg,Angelika Iftner,Daniela Bezdan,Elizabeth Sanchez,Thomas R. Campion,John Sipley,Lin Cong,Arryn Craney,Priya Velu,Ari Melnick,Sagi Shapira,Iman Hajirasouliha,Alain C. Borczuk,Thomas Iftner,Mirella Salvatore,Massimo Loda,Lars F. Westblade,Melissa M. Cushing,Shixiu Wu,Shawn Levy,Charles Y. Chiu,Robert E. Schwartz,Nicholas P. Tatonetti,Hanna Rennert,Marcin Imielinski,Christopher E. Mason +78 more
TL;DR: A 30-minute colorimetric test for SARS-CoV-2 infection from naso/oropharyngeal swabs and a large-scale shotgun metatranscriptomics platform (total-RNA-seq) for host, viral, and microbial profiling was designed in this article.
Journal ArticleDOI
A Suite of Tools for ROC Analysis of Spatial Models
Jean-François Mas,Britaldo Soares Filho,Robert Gilmore Pontius,Michelle Farfán Gutiérrez,Hermann Rodrigues +4 more
TL;DR: A suite of GIS tools designed to facilitate ROC curve analysis for GIS users by applying proper statistical tests and analysis procedures and interpret and discuss the ROC-related statistics resulting from various case studies.
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Vote Switching in the 2016 Election: How Racial and Immigration Attitudes, Not Economics, Explain Shifts in White Voting
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Development of a Measure of Postpartum PTSD: The City Birth Trauma Scale
TL;DR: The City Birth Trauma Scale has good psychometric properties and the two symptom clusters identified are consistent with previous research on symptoms of postpartum PTSD.
References
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