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
Published in:
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Date of Conference: 1999