AUC.calc: Compute the AUC

In ktspair: k-Top Scoring Pairs for Microarray Classification

Description

Compute the AUC for a given curve (the area under the curve).

Usage

AUC.calc(at, values)

Arguments

at	The values of the curve on the x-axis
values	The values of the curve on the y-axis

Value

No value is returned

Note

This function is used in the function ROC.graphic() to compute the AUC for the ROC curves.

Author(s)

Julien Damond [e-mail]

References

D. Geman, C. d'Avignon, D. Naiman and R. Winslow, "Classifying gene expression profiles from pairwise mRNA comparisons," Statist. Appl. in Genetics and Molecular Biology, 3, 2004.

A.C. Tan, D.Q. Naiman, L. Xu, R.L. Winslow, D. Geman, "Simple decision rules for classifying human cancers from gene expression profiles," Bioinformatics, 21: 3896-3904, 2005.

Aik Choon Tan, Daniel Q. Naiman, Lei Xu, Raimond L. Winslow, and Donald Geman, "Simple decision rules for classifying human cancers from gene expression profiles," Bioinformatics, 21:3896NAK3904, October 2005.

J. Damond, supervised by S. Morgenthaler and S. Hosseinian, "Presentation and study of robustness for several methods to classify individuals based on their gene expressions", Master thesis, Swiss Federal Institute of Technology Lausanne (Switzerland), 2011.

J. Damond, S. Morgenthaler, S. Hosseinian, "The robustness of the TSP and the k-TSP and the computation of ROC curves", paper is submitted in Bioinformatics, December 2011.

Jeffrey T. Leek <[e-mail]> (). tspair: Top Scoring Pairs for Microarray Classification. R package version 1.10.0.

See Also

kts.pair, ktspplot,predict.ktsp, summary.ktsp, ROC.voting, ROC.offset, ROC.graphic.ktsp

ktspair documentation built on May 2, 2019, 3:25 a.m.