Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.

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Title: Learning vector quantization as an interpretable classifier for the detection of SARS-CoV-2 types based on their RNA sequences.
Authors: Kaden M; University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.; Saxon Institute for Computational Intelligence and Machine Learning, Technikumplatz 17, 09648 Mittweida, Germany., Bohnsack KS; University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.; Saxon Institute for Computational Intelligence and Machine Learning, Technikumplatz 17, 09648 Mittweida, Germany., Weber M; University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.; Saxon Institute for Computational Intelligence and Machine Learning, Technikumplatz 17, 09648 Mittweida, Germany., Kudła M; University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.; Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland., Gutowska K; Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland.; European Centre for Bioinformatics and Genomics, Piotrowo 2, 60-965 Poznan, Poland., Blazewicz J; Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965 Poznan, Poland.; Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland.; European Centre for Bioinformatics and Genomics, Piotrowo 2, 60-965 Poznan, Poland., Villmann T; University of Applied Sciences Mittweida, Technikumplatz 17, 09648 Mittweida, Germany.; Saxon Institute for Computational Intelligence and Machine Learning, Technikumplatz 17, 09648 Mittweida, Germany.
Source: Neural computing & applications [Neural Comput Appl] 2022; Vol. 34 (1), pp. 67-78. Date of Electronic Publication: 2021 Apr 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer International Country of Publication: England NLM ID: 9313239 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0941-0643 (Print) Linking ISSN: 09410643 NLM ISO Abbreviation: Neural Comput Appl Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:0941-0643
DOI:10.1007/s00521-021-06018-2