Finding Discriminatory Genes: A methodology for validating microarray studies
- Sheehan Khan, Department of Computing Science
- Russ Greiner, Dept of Computing Science; PI of AICML
This paper explores the challenge of efficiently collecting data to find which genes (from a given set of candidates) are differentially expressed. We consider several algorithms for this task, including some that assume there are only two types of genes: those that are not differentially expressed, and those that are differentially expressed to the same level. We provide a framework for evaluating such algorithms and also present an algorithm that has nice theoretical properties and performs very well on both real and simulated data.
Citation
S. Khan, R. Greiner. "Finding Discriminatory Genes: A methodology for validating microarray studies". Data Mining for Biomedical Applications (BioDM), IEEE, pp 64-71, December 2013.| Keywords: | Biomarker Discovery, Microarray Analysis, Sequential Design |
| Category: | In Workshop |
| Web Links: | IEEE |
| DOI |
BibTeX
@misc{Khan+Greiner:BioDM13,
author = {Sheehan Khan and Russ Greiner},
title = {Finding Discriminatory Genes: A methodology for validating
microarray studies},
Publisher = "IEEE",
Pages = {64-71},
booktitle = {Data Mining for Biomedical Applications (BioDM)},
year = 2013,
}Last Updated: February 12, 2020Submitted by Sabina P
