DocumentCode :
1682382
Title :
A clustering method of chromosome fluorescence profiles using self organizing map
Author :
Douzono, Hiroshi ; Hara, Shigeomi ; Kuriyama, Yoshiharu ; Tokushima, Hisao ; Noguchi, Yoshio
Author_Institution :
Fac. of Sci. & Eng., Saga Univ., Japan
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1080
Lastpage :
1085
Abstract :
The clustering method by the self-organizing map algorithm of chromosome profiles measured by slit-scan flowcytometer is proposed. Chromosome profile represents the distribution of the fluorescence intensities along the lengthwise. To examine the performance of the cytometer developed in our laboratory, we made clustering experiments of the measured profiles. We developed a SOM based clustering algorithm using chromosome physical model, which can estimate the chromosome models and rotation angles, but the results were considered to be not complete. For this problem, we propose a new algorithm, which estimate the models and rotation angles step by step. We examine our algorithm using the virtual profiles and profiles measured by our cytometer
Keywords :
biology computing; biomedical equipment; cellular biophysics; genetics; pattern clustering; self-organising feature maps; virtual reality; chromosome fluorescence profiles; clustering; cytometer; fluorescence intensity; rotation angles; self organizing map; slit-scan flowcytometer; virtual profiles; Bioinformatics; Biological cells; Clustering algorithms; Clustering methods; Fluorescence; Genomics; Laboratories; Organizing; Sequences; Sorting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007644
Filename :
1007644
Link To Document :
بازگشت