Analysis on time-lagged gene clusters in time series gene expression data

被引：0
|
作者：
Zeng, Tao [1 ]
Liu, Juan [1 ]
机构：
[1] Wuhan Univ, Sch Comp, Wuhan 430079, Peoples R China
来源：
CIS: 2007 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/CIS.2007.208
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There are a number of previous approaches for identifying time-lagged gene co-regulations. Popularly used cross-correlation method and edge detection method don't consider the direction of regulation of gene pairs. And event method is proposed to deal with some of the above-mentioned limitations however its scoring system to identify promising time-lagged gene pairs is still questionable. This paper further analyses the time-lagged gene clusters mining process and some probably existing deduced direction of co-regulation's contradictory phenomenon in these clusters/bi-clusters. Besides, the time-lagged value is proposed as a possible prevention mechanism.
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页码：181 / +
页数：2
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