A Clustering Method of Chromosome Fluorescence Profiles Using Modified Self Organizing Map

摘要：

The clustering method by the self-organizing map algorithm of chromosome profiles measured by slitscan flowcytometer is proposed. Moreover, the physical models of chromosomes have been introduced in order to take into account the rotation of chromosomes in the flowcytometer. The self-organizing map algorithm has been improved so that it can modify the characteristic parameters of chromosome physical models. By this modification, the lengths of chromosomes and the intensity distribution of chromosome fluorescence can be estimated from chromosome profile data measured by the flowcytometer. But the distribution of the rotation angles was unnatural and the numerical evaluations of clustering results were much worse than conventional method. In this paper, we changed the physical models and the geometry of maps, and evaluated the clustering results more precisely considering the rotation of the chromosomes.

作者: Hiroshi DOUZONO Shigeomi HARA Hisao Tokushima Yoshio NOGUCHI

作者单位: Faculty of Science and Engineering Saga University Saga, 840-8502 JAPAN

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 580-584

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）