%0 Journal Article
%T Network-Based Predictions and Simulations by Biological State Space Models: Search for Drug Mode of Action
%A Rui Yamaguchi
%A Seiya Imoto
%A Satoru Miyano
%A <br>Rui Yamaguchi
%A Seiya Imoto
%A Satoru Miyano
%J 计算机科学技术学报
%D 2010
%I 
%X Since time-course microarray data are short but contain a large number of genes, most of statistical models should be extended so that they can handle such statistically irregular situations. We introduce biological state space models that are established as suitable computational models for constructing gene networks from microarray gene expression data. This chapter elucidates theory and methodology of our biological state space models together with some representative analyses including discovery of drug...
%K gene networks
%K state space models
%K time-course gene expression data<br>状态空间模型
%K 药物作用
%K 生物
%K 模式搜索
%K 基于网络
%K 基因表达数据
%K 模拟
%K 预测
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=F57FEF5FAEE544283F43708D560ABF1B&aid=0C203A33BEF8D8593506BBAFA53BDFE1&yid=140ECF96957D60B2&vid=C5154311167311FE&iid=CA4FD0336C81A37A&sid=6DE26652A1045643&eid=D59111839E7C8BDF&journal_id=1000-9000&journal_name=计算机科学技术学报&referenced_num=0&reference_num=39