Phan, Dau and Ngoc, Giang N. and Lumbanraja, Favorisen R and Faisal, Mohammad R and Abipihi, Bahriddin and Purnama, Bedy and Delimiyanti, Mera K and Kubo, Mamoru and Satou, Kenji (2017) Combined Use of k-Mer Numerical Features and Position-Specific Categorical Features in Fixed-Length DNA Sequence Classification. Journal of Biomedical Science and Engineering, 10 (8). pp. 390-401. ISSN 1937-6871

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Abstract

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.

Item Type: Article
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer
Depositing User: Favorisen R Lumbanraja
Date Deposited: 16 Nov 2018 17:22
Last Modified: 16 Nov 2018 17:22
URI: http://repository.lppm.unila.ac.id/id/eprint/9971

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