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| Title | Analysis of telomere intensities in human chromosomes with application to classification of chromosome 16 homologs |
| Publication Type | Conference Paper |
| Year of Publication | 1999 |
| Authors | Mousavi, P., R. K. Ward, E. Chavez, and P. M. Lansdorp |
| Conference Name | Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on |
| Pagination | 205 -208 |
| Keywords | biological techniques, biology computing, cellular biophysics, chromosome 16 homologs, fuzzy c-means clustering algorithm, fuzzy set theory, gradient method, human chromosome 16, image classification, maternal classes, medical image processing, paternal classes, pattern clustering, PNA probes, telomere intensities |
| 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 |
| URL | http://dx.doi.org/10.1109/PACRIM.1999.799513 |
| DOI | 10.1109/PACRIM.1999.799513 |