Literature DB >> 16096348

ROCR: visualizing classifier performance in R.

Tobias Sing1, Oliver Sander, Niko Beerenwinkel, Thomas Lengauer.   

Abstract

UNLABELLED: 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@mpi-sb.mpg.de.

Mesh：

Year:  2005        PMID： 16096348     DOI： 10.1093/bioinformatics/bti623

Source DB:  PubMed          Journal:  Bioinformatics        ISSN： 1367-4803            Impact factor:   6.937


  1007 in total

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Journal:  Nat Biotechnol       Date:  2010-05       Impact factor: 54.908

2.  A panel of urinary biomarkers to monitor reversibility of renal injury and a serum marker with improved potential to assess renal function.

Authors:  Josef S Ozer; Frank Dieterle; Sean Troth; Elias Perentes; André Cordier; Pablo Verdes; Frank Staedtler; Andreas Mahl; Olivier Grenet; Daniel R Roth; Daniel Wahl; François Legay; Daniel Holder; Zoltan Erdos; Katerina Vlasakova; Hong Jin; Yan Yu; Nagaraja Muniappa; Tom Forest; Holly K Clouse; Spencer Reynolds; Wendy J Bailey; Douglas T Thudium; Michael J Topper; Thomas R Skopek; Joseph F Sina; Warren E Glaab; Jacky Vonderscher; Gérard Maurer; Salah-Dine Chibout; Frank D Sistare; David L Gerhold
Journal:  Nat Biotechnol       Date:  2010-05       Impact factor: 54.908

3.  Identification of Serologic Markers for School-Aged Children With Congenital Rubella Syndrome.

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Journal:  J Infect Dis       Date:  2014-10-31       Impact factor: 5.226

4.  Shallow Representation Learning via Kernel PCA Improves QSAR Modelability.

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Journal:  J Chem Inf Model       Date:  2017-08-07       Impact factor: 4.956

5.  Time-resolved analysis of the matrix metalloproteinase 10 substrate degradome.

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Journal:  Mol Cell Proteomics       Date:  2013-11-26       Impact factor: 5.911

6.  Circulating microRNA profiles in human patients with acetaminophen hepatotoxicity or ischemic hepatitis.

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7.  OneD: increasing reproducibility of Hi-C samples with abnormal karyotypes.

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Journal:  Nucleic Acids Res       Date:  2018-05-04       Impact factor: 16.971

8.  Absence/presence calling in microarray-based CGH experiments with non-model organisms.

Authors:  Martijs J Jonker; Wim C de Leeuw; Marino Marinković; Floyd R A Wittink; Han Rauwerda; Oskar Bruning; Wim A Ensink; Ad C Fluit; C H Boel; Mark de Jong; Timo M Breit
Journal:  Nucleic Acids Res       Date:  2014-04-25       Impact factor: 16.971

9.  Dipstick screening for urinary tract infection in febrile infants.

Authors:  Eric W Glissmeyer; E Kent Korgenski; Jacob Wilkes; Jeff E Schunk; Xiaoming Sheng; Anne J Blaschke; Carrie L Byington
Journal:  Pediatrics       Date:  2014-05       Impact factor: 7.124

10.  Novel diagnostic tool for prediction of variant spliceogenicity derived from a set of 395 combined in silico/in vitro studies: an international collaborative effort.

Authors:  Raphaël Leman; Pascaline Gaildrat; Gérald Le Gac; Chandran Ka; Yann Fichou; Marie-Pierre Audrezet; Virginie Caux-Moncoutier; Sandrine M Caputo; Nadia Boutry-Kryza; Mélanie Léone; Sylvie Mazoyer; Françoise Bonnet-Dorion; Nicolas Sevenet; Marine Guillaud-Bataille; Etienne Rouleau; Brigitte Bressac-de Paillerets; Barbara Wappenschmidt; Maria Rossing; Danielle Muller; Violaine Bourdon; Françoise Revillon; Michael T Parsons; Antoine Rousselin; Grégoire Davy; Gaia Castelain; Laurent Castéra; Joanna Sokolowska; Florence Coulet; Capucine Delnatte; Claude Férec; Amanda B Spurdle; Alexandra Martins; Sophie Krieger; Claude Houdayer
Journal:  Nucleic Acids Res       Date:  2018-09-06       Impact factor: 16.971
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