Open Science Research Excellence
%0 Journal Article
%A Benjamin Y. M. Kwan and  Jennifer Y. Y. Kwan and  Hon Keung Kwan
%D 2011 
%J  International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering
%B World Academy of Science, Engineering and Technology
%I International Science Index 60, 2011
%T Exons and Introns Classification in Human and Other Organisms
%U http://waset.org/publications/7230
%V 60
%X In the paper, the relative performances on spectral
classification of short exon and intron sequences of the human and
eleven model organisms is studied. In the simulations, all
combinations of sixteen one-sequence numerical representations, four
threshold values, and four window lengths are considered. Sequences
of 150-base length are chosen and for each organism, a total of
16,000 sequences are used for training and testing. Results indicate
that an appropriate combination of one-sequence numerical
representation, threshold value, and window length is essential for
arriving at top spectral classification results. For fixed-length
sequences, the precisions on exon and intron classification obtained
for different organisms are not the same because of their genomic
differences. In general, precision increases as sequence length
increases.
%P 873 - 876