A lifting-based knowledge discovery in microarray data

被引：0
|
作者：
Barlowe, SA [1 ]
Tashakkori, R [1 ]
机构：
[1] Appalachian State Univ, Dept Comp Sci, Boone, NC 28608 USA
来源：
METMBS '05: PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES | 2005年
关键词：
knowledge discovery; microarray; wavelets; lifting; hierarchical clustering; bioinformatics;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper presents an application of lifting, the new integer-based wavelets, to knowledge discovery of microarray data. Microarrays can contain expression profiles for thousands of genes on a single chip. Analysis of microarrays, which includes clustering, aid.; researchers in better understanding of genetic behavior under specific circumstances and can lead to the development of new treatments and diagnostics. This paper demonstrates how lifting schemes can be used to make microarray analysis more efficient by reducing the amount of data necessary to perform clustering.
引用
收藏
页码：291 / 296
页数：6
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