The Budgeted Biomarker Discovery Problem: A Variant of Association Studies
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In this paper we present the budgeted biomarker discovery problem as an alternative to the association studies traditionally used to identify biomarkers. We present several strong arguments to show why adopting this new problem will help solve issues in reproducibility and understanding of association studies. Additionally, we present several algorithms for this problem and show their performance on real metabolomic data and on synthetic data.
Citation
S. Khan,
R. Greiner.
"The Budgeted Biomarker Discovery Problem: A Variant of Association Studies". AAAI Workshop on Modern Artificial Intelligence for Health Analytics (MAIHA), AAAI, (ed: Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens), WS-14-08, pp n/a, June 2014.
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BibTeX
@misc{Khan+Greiner:MAIHA14,
author = {Sheehan Khan and Russ Greiner},
title = {The Budgeted Biomarker Discovery Problem: A Variant of Association
Studies},
Publisher = "AAAI",
Editor = {Finale Doshi-Velez, David C. Kale, Byron C. Wallace, Jenna Wiens},
Volume = "WS-14-08",
Pages = {n/a},
booktitle = {AAAI Workshop on Modern Artificial Intelligence for Health
Analytics (MAIHA)},
year = 2014,
}Last Updated: February 12, 2020
Submitted by Sabina P 
