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免疫聚类算法在基因表达数据分析中的应用 被引量:9
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作者 朱思峰 刘芳 柴争义 《北京邮电大学学报》 EI CAS CSCD 北大核心 2010年第2期54-57,共4页
提出了基于免疫聚类算法的基因表达数据分析方法.根据基因表达数据矩阵的特点,设计了改进的Consine系数来度量基因相似度;借鉴生物免疫学的有关免疫理论,利用基因表达数据分析的先验知识自适应地改变抗体本身及其与抗原亲合度的关系,构... 提出了基于免疫聚类算法的基因表达数据分析方法.根据基因表达数据矩阵的特点,设计了改进的Consine系数来度量基因相似度;借鉴生物免疫学的有关免疫理论,利用基因表达数据分析的先验知识自适应地改变抗体本身及其与抗原亲合度的关系,构造了基于免疫优势克隆的聚类算法.与K-均值算法和遗传算法的对比实验表明,该算法能够获得较大的类内紧制度、较小的类间分离度,具有较好的工程应用价值. 展开更多
关键词 聚类算法 免疫优势克隆算法 基因表达数据分析 consine系数
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Cosine Moments and Their Application to ∑ Relationships
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作者 Guo Dongyao (Institute of Theoretical Chemistry, Jilin University, Changchun)Guo Shishan (Chemistry Department, Jilin University, Changchun) 《Chemical Research in Chinese Universities》 SCIE CAS CSCD 1990年第1期62-66,共5页
Recent advances In the theory of ∑ relationships lead to the Investigation of moments needed to derive the relavant joint probability densities. These together with the linear theory of relationships, make possible t... Recent advances In the theory of ∑ relationships lead to the Investigation of moments needed to derive the relavant joint probability densities. These together with the linear theory of relationships, make possible the calcualtion of therelationships from ∑1 to ∑2 one by one. The superior performance ofour new ∑4 and ∑r relationships, for example, with respect to the older ∑1 and ∑3 formulas strongly suggests a deeper study of the pertinent moments. In this paper a new concept, the cosine moment, is introduced which, together with a certain integral theorem, permits the derivation of the relevant joint probability densities. These lead in turn to the derivation of all ∑ relationships valid for all the space groups. 展开更多
关键词 consine moment relationship Joint probability density
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