计算机与现代化Issue(12)：11-14,4.DOI:10.3969/j.issn.1006-2475.2014.12.003
面向微阵列基因数据的基于 PA 指标双向聚类算法
A Biclustering Algorithm Based on PA Index in Microarray Gene Expression Data
摘要
Abstract
To improve the global quality of the outcome of the biclustering , a biclustering algorithm based on PA index was pro-posed .In this algorithm , the PA index which can estimate the effect of outcome of the biclustering was chosen to construct the bi -cluster model.Through deleting or inserting rows and columns in the heuristic greedy fashion , the algorithm obtained the signifi-cant biclusters of high global quality .To compare the performance of the algorithm with CC and FLOC , a real dataset experiment was simulated.The result shows that the algorithm in this paper can obtain better results .In a word, the algorithm is capable of detecting potentially statistically and biologically significant biclusters .关键词
PA指标/双聚类/GO分析/微阵列基因数据Key words
PA index/biclustering/GO analysis/microarray gene expression data分类
信息技术与安全科学引用本文复制引用
林勤,林斯达,朱文敏..面向微阵列基因数据的基于 PA 指标双向聚类算法[J].计算机与现代化,2014,(12):11-14,4.基金项目
广东医学院面上基金资助项目（ XK1330）；广东医学院大学生科研立项发明类重点项目（2012 FZDI004）；广东医学院大学生科研立项社科类一般项目 （）
