Literature DB >> 11137196

ROC with confidence - a Perl program for receiver operator characteristic curves.

H A Kestler1.   

Abstract

Receiver operator characteristic (ROC) curves are recommended to assess the diagnostic value of tests depending on a single cut-off value of a continuous variable. These ROC curves show the true-positive rate (sensitivity) against the false-positive rate (1-specificity). It is desirable, especially in situations with small samples of observations, to display confidence bounds of the ROC curve. This paper presents a Perl program which calculates the ROC curve and its distribution-free confidence bounds. A simple user interface also written in Perl permits their display.

Mesh:

Year:  2001        PMID: 11137196     DOI: 10.1016/s0169-2607(00)00098-5

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

1.  Serum DNA motifs predict disease and clinical status in multiple sclerosis.

Authors:  Julia Beck; Howard B Urnovitz; Marina Saresella; Domenico Caputo; Mario Clerici; William M Mitchell; Ekkehard Schütz
Journal:  J Mol Diagn       Date:  2010-03-12       Impact factor: 5.568

2.  Cross-reactivity virtual profiling of the human kinome by X-react(KIN): a chemical systems biology approach.

Authors:  Michal Brylinski; Jeffrey Skolnick
Journal:  Mol Pharm       Date:  2010-11-08       Impact factor: 4.939

3.  Unleashing the power of meta-threading for evolution/structure-based function inference of proteins.

Authors:  Michal Brylinski
Journal:  Front Genet       Date:  2013-06-19       Impact factor: 4.599

4.  A microarray-based system for the simultaneous analysis of single nucleotide polymorphisms in human genes involved in the metabolism of anti-malarial drugs.

Authors:  Eva Maria Hodel; Serej D Ley; Weihong Qi; Frédéric Ariey; Blaise Genton; Hans-Peter Beck
Journal:  Malar J       Date:  2009-12-09       Impact factor: 2.979

5.  Searching remote homology with spectral clustering with symmetry in neighborhood cluster kernels.

Authors:  Ujjwal Maulik; Anasua Sarkar
Journal:  PLoS One       Date:  2013-02-15       Impact factor: 3.240

6.  Protein interactions in human genetic diseases.

Authors:  Benjamin Schuster-Böckler; Alex Bateman
Journal:  Genome Biol       Date:  2008-01-16       Impact factor: 13.583

  6 in total

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