Discovering weighted patterns in intron sequences using self-adaptive harmony search and back-propagation algorithms.

ScientificWorldJournal

Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology, Douliu, Yunlin 640, Taiwan.

Published: September 2013

A hybrid self-adaptive harmony search and back-propagation mining system was proposed to discover weighted patterns in human intron sequences. By testing the weights under a lazy nearest neighbor classifier, the numerical results revealed the significance of these weighted patterns. Comparing these weighted patterns with the popular intron consensus model, it is clear that the discovered weighted patterns make originally the ambiguous 5SS and 3SS header patterns more specific and concrete.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662175PMC
http://dx.doi.org/10.1155/2013/249034DOI Listing

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