%0 Journal Article
%T Analyzing Gene Expression Data Based on Rough Self-organizing Maps
粗糙自组织映射在基因表达数据分析中的应用
%A YANG Di MIAO Duo-Qian WANG Rui-Zhi
%A Ministry of Education
%A Shanghai
%A
杨迪
%A 苗夺谦
%A 王睿智
%J 计算机科学
%D 2008
%I
%X This paper presents an approach using rough set and Boolean reasoning discretization-reduction to improve the rough self-organizing maps,and using it to analyzz gene expression data. This approach can improve the convergence time and obtain the best map scale. We have tested the RSOM on the yeast data set,obtained better map quality and classification result.
%K Rough set
%K SOM
%K Gene expression data
Roughset
%K 自组织映射网络
%K 基因表达数据
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=B9C3C3B24A8C730097E48EB10079D133&yid=67289AFF6305E306&vid=6209D9E8050195F5&iid=38B194292C032A66&sid=D9AE183D3F5C3C75&eid=FBCA02DBD05BD4EA&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=10