B-MISCORE: A NEW SIMILARITY METRIC FOR SELF-ORGANIZATION OF DNA k-MERS

نویسندگان

  • Dianhui Wang
  • DIANHUI WANG
چکیده

This technical report presents a new similarity metric to characterize the closeness between a k-mer and a background, which can be a whole genomic DNA sequence or a collection of non-coding regions of relevant species. Such a similarity metric plays an important role in modeling DNA regulatory motifs, and also it will provide us with a sensible and interpretable measure for data assignments in self-organization learning schemes. This original contribution can be regarded as a counterpoint of our proposed MISCORE concept. Some primary results on signal separability and monotonic property of mixed models are reported.

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تاریخ انتشار 2013