DocumentCode
3254342
Title
Analysis of telomere intensities in human chromosomes with application to classification of chromosome 16 homologs
Author
Mousavi, Parvin ; Ward, Rabab K. ; Chavez, Elizabeth ; Lansdorp, Peter M.
Author_Institution
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
fYear
1999
fDate
1999
Firstpage
205
Lastpage
208
Abstract
Studies telomere lengths in human chromosome 16 and attempts to classify homologs of chromosome 16 into maternal and paternal classes. A fuzzy c-means clustering algorithm is used for classification. A gradient method developed previously is also used to classify chromosome 16 and the results of these two methods are compared. Our study takes advantage of novel PNA probes developed at the BC Cancer Research Centre
Keywords
biological techniques; biology computing; cellular biophysics; fuzzy set theory; image classification; medical image processing; pattern clustering; PNA probes; chromosome 16 homologs; fuzzy c-means clustering algorithm; gradient method; human chromosome 16; maternal classes; paternal classes; telomere intensities; Application software; Arm; Biological cells; Biomedical imaging; Cancer; Cells (biology); Humans; Laboratories; Presence network agents; Probes;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-5582-2
Type
conf
DOI
10.1109/PACRIM.1999.799513
Filename
799513
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