AucPR: An AUC-based approach using penalized regression for disease prediction with high-dimensional omics data

Abstract

It is common to get an optimal combination of markers for disease classification and prediction when multiple markers are available. Many approaches based on the area under the receiver operating characteristic curve (AUC) have been proposed. Existing works based on AUC in a high-dimensional context depend mainly on a non-parametric, smooth approximation of… (More)
DOI: 10.1186/1471-2164-15-S10-S1

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Cite this paper

@inproceedings{Yu2014AucPRAA, title={AucPR: An AUC-based approach using penalized regression for disease prediction with high-dimensional omics data}, author={Wenbao Yu and Taesung Park}, booktitle={BMC Genomics}, year={2014} }