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

机译:人类染色体端粒强度分析及其在16号染色体同源物分类中的应用

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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.
机译:研究人类16号染色体上的端粒长度,并尝试将16号染色体的同源物分类为母体和父体。模糊c均值聚类算法用于分类。先前开发的梯度方法也用于对16号染色体进行分类,并对这两种方法的结果进行了比较。我们的研究利用了卑诗省癌症研究中心开发的新型PNA探针。

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