%0 Journal Article
%T Combined Use of k-Mer Numerical Features and Position-Specific Categorical Features in Fixed-Length DNA Sequence Classification
%A Dau Phan
%A Ngoc Giang Nguyen
%A Favorisen Rosyking Lumbanraja
%A Mohammad Reza Faisal
%A Bahriddin Abapihi
%A Bedy Purnama
%A Mera Kartika Delimayanti
%A Mamoru Kubo
%A Kenji Satou
%J Journal of Biomedical Science and Engineering
%P 390-401
%@ 1937-688X
%D 2017
%I Scientific Research Publishing
%R 10.4236/jbise.2017.108030
%X To classify DNA sequences, k-mer frequency is widely used since it can convert variable-length sequences into fixed-length and numerical feature vectors. However, in case of fixed-length DNA sequence classification, subsequences starting at a specific position of the given sequence can also be used as categorical features. Through the performance evaluation on six datasets of fixed-length DNA sequences, our algorithm based on the above idea achieved comparable or better performance than other state-of-the art algorithms.
%K Sequence Classification
%K Numerical and Categorical Features
%K Feature Selection
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=78789