Time-Series Trend of Pandemic SARS-CoV-2 Variants Visualized Using Batch-Learning Self-Organizing Map for Oligonucleotide Compositions
Authors
Smart Information Systems, Faculty of Engineering, Niigata University, Niigata-ken 950-2181
Ryuki Furukawa
t17b318c@mail.cc.niigata-u.ac.jp
Smart Information Systems, Faculty of Engineering, Niigata University, Niigata-ken 950-2181
Yuki Iwasaki
y_iwasaki@nagahama-i-bio.ac.jp
Department of Bioscience, Nagahama Institute of Bio-Science and Technology. Shiga-ken 526-0829
t_ikemura@nagahama-i-bio.ac.jp
Department of Bioscience, Nagahama Institute of Bio-Science and Technology. Shiga-ken 526-0829
DOI: https://doi.org/10.5334/dsj-2021-029 | Journal eISSN: 1683-1470
Language: English
Page range: 29 - 29
Submitted on: Mar 23, 2021
Accepted on: Sep 10, 2021
Published on: Sep 21, 2021
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
© 2021 Takashi Abe, Ryuki Furukawa, Yuki Iwasaki, Toshimichi Ikemura, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.