AUC-based biomarker ensemble with an application on gene scores predicting low bone mineral density.

ABSTRACT:

Motivation

The area under the receiver operating characteristic (ROC) curve (AUC), long regarded as a 'golden' measure for the predictiveness of a continuous score, has propelled the need to develop AUC-based predictors. However, the AUC-based ensemble methods are rather scant, largely due to the fact that the associated objective function is neither continuous nor concave. Indeed, there is no reliable numerical algorithm identifying optimal combination of a set of biomarkers to maximize the AUC, especially when the number of biomarkers is large.

Results

We have proposed a novel AUC-based statistical ensemble methods for combining multiple biomarkers to differentiate a binary response of interest. Specifically, we propose to replace the non-continuous and non-convex AUC obje

SUBMITTER: Zhao XG 

PROVIDER: S-EPMC3198577 | biostudies-literature | 2011 Nov

REPOSITORIES: biostudies-literature