Inferring genetic networks from microarray data

被引：0
|
作者：
Martin, S [1 ]
Davidson, G [1 ]
May, E [1 ]
Faulon, JL [1 ]
Werner-Washburne, M [1 ]
机构：
[1] Sandia Natl Labs, Albuquerque, NM 87110 USA
来源：
2004 IEEE COMPUTATIONAL SYSTEMS BIOINFORMATICS CONFERENCE, PROCEEDINGS | 2004年
关键词：
D O I：
暂无
中图分类号：
Q81 [生物工程学（生物技术）]; Q93 [微生物学];
学科分类号：
071005 ; 0836 ; 090102 ; 100705 ;
摘要：
In theory, it should be possible to infer realistic genetic networks from time series microarray data. In practice, however, network discovery has proved problematic. The three major challenges are 1) inferring the network, 2) estimating the stability of the inferred network, and 3) making the network visually accessible to the user Here we describe a method, tested on publicly available time series microarray data, which addresses these concerns.
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收藏
页码：566 / 569
页数：4
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