Practical Quality Assessment of Microarray Data by Simulation of Differential Gene Expression

被引：0
|
作者：
Howard, Brian E. [1 ]
Sick, Beate [2 ]
Heber, Steffen [1 ,3 ]
机构：
[1] North Carolina State Univ, Bioinformat Res Ctr, Raleigh, NC 27695 USA
[2] Univ Zurich Appl Sc, Inst Data Anal & Proc Design, Winterthur, Switzerland
[3] North Carolina State Univ, Dept Comp Sci, Raleigh, NC USA
来源：
BIOINFORMATICS RESEARCH AND APPLICATIONS: 5TH INTERNATIONAL SYMPOSIUM, ISBRA 2009 | 2009年 / 5542卷
关键词：
Microarray; quality assessment; simulation;
D O I：
暂无
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
There are many methods for assessing the quality of microarray data, but little guidance regarding what to do when defective data is identified. Depending on the scientific question asked, discarding flawed data from a small experiment may be detrimental. Here we describe a novel quality assessment method that is designed to identify chips that should be discarded from an experiment. This technique simulates a set of differentially expressed genes and then assesses whether discarding each chip enhances or obscures the recovery of this known set. We compare our method to expert annotations derived using popular quality diagnostics and show, with examples, that the decision to discard a chip depends on the details of the particular experiment.
引用
收藏
页码：18 / +
页数：3
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