ROCS 1.3 – Receiver Operating Characteristic Surface

ROCS 1.3

:: DESCRIPTION

Plots the ROCS for high-throughput class-skewed data, calculates the Volume under the Surface (VUS) and the FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare two ROC surfaces. Computes eROC curve and the corresponding AUC for imperfect reference standard.

::DEVELOPER

Tianwei Yu

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux / Windows / MacOsX
R

:: DOWNLOAD

ROCS

:: MORE INFORMATION

Citation

PLoS One. 2012;7(7):e40598. doi: 10.1371/journal.pone.0040598.
ROCS: receiver operating characteristic surface for class-skewed high-throughput data.
Yu T

ROCCET – Receiver Operating Characteristic Curve Explorer & Tester

ROCCET

:: DESCRIPTION

ROCCET is a freely available web-based tool designed to assist clinicians and bench biologists in performing common ROC based analyses on their metabolomic data using both classical univariate and more recently developed multivariate approaches.

::DEVELOPER

the Wishart Research Group, University of Alberta

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux
Java
R package
Apache

:: DOWNLOAD

ROCCET

:: MORE INFORMATION

Citation

Metabolomics. 2013 Apr;9(2):280-299. Epub 2012 Dec 4.
Translational biomarker discovery in clinical metabolomics: an introductory tutorial.
Xia J, Broadhurst DI, Wilson M, Wishart DS.

StAR – Statistical Analysis of Receiver Operating Characteristic (ROC) Curves

StAR

:: DESCRIPTION

StAR is a web server and standalone program for the statistical comparison of several binary classifiers. This server assesses the statistical significance of the observed differences between two or more classifiers by means of their ROC (Receiver Operating Characteristic) curves. The statistical comparison relies on a non-parametric test and the area under the ROC curves (AUCs). The server is able to perform the simultaneous pairwise comparison of many binary classifiers.

::DEVELOPER

Francisco Melo Ledermann

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux

:: DOWNLOAD

StAR

:: MORE INFORMATION

Citation

Vergara, I.A., Norambuena, T., Ferrada, E., Slater, A.W. and Melo, F. (2008)
StAR: a simple tool for the statistical comparison of ROC curves.
BMC B ioinformatics 9, 265.