Nguyen, Ngoc G and Tran, Vu Anh and Phan, Dau and Lumbanraja, Favorisen R and Faisal, Mohammad Reza and Abapihi, Bahriddin and Kubo, Mamoru and Satou, Kenji (2016) DNA Sequence Classification by Convolutional Neural Network. Journal Biomedical Science and Engineering, 9 (5). pp. 280-286. ISSN 1937-688X
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Abstract
In recent years, a deep learning model called convolutional neural network with an ability of extracting features of high-level abstraction from minimum preprocessing data has been widely used. In this research, we proposed a new approach in classifying DNA sequences using the convolutional neural network while considering these sequences as text data. We used one-hot vectors to represent sequences as input to the model; therefore, it conserves the essential position information of each nucleotide in sequences. Using 12 DNA sequence datasets, we evaluated our proposed model and achieved significant improvements in all of these datasets. This result has shown a potential of using convolutional neural network for DNA sequence to solve other sequence problems in bioinformatics.
| Item Type: | Article |
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| 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: | 24 Feb 2021 05:04 |
| Last Modified: | 24 Feb 2021 05:04 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/28063 |
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