Analysis of telomere intensities in human chromosomes with application to classification of chromosome 16 homologs

TitleAnalysis of telomere intensities in human chromosomes with application to classification of chromosome 16 homologs
Publication TypeConference Paper
Year of Publication1999
AuthorsMousavi, P., R. K. Ward, E. Chavez, and P. M. Lansdorp
Conference NameCommunications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Pagination205 -208
Keywordsbiological 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

URLhttp://dx.doi.org/10.1109/PACRIM.1999.799513
DOI10.1109/PACRIM.1999.799513

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