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Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques.

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Title: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques.
Authors: Elsherbini AMA; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt., Elkholy AH; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt., Fadel YM; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt., Goussarov G; Microbiology Unit, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium., Elshal AM; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt., El-Hadidi M; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt., Mysara M; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt. mmaysara@nu.edu.eg.
Source: BMC bioinformatics [BMC Bioinformatics] 2024 Mar 27; Vol. 25 (1), pp. 131. Date of Electronic Publication: 2024 Mar 27.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques.
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  Data: <searchLink fieldCode="AU" term="%22Elsherbini+AMA%22">Elsherbini AMA</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt.<br /><searchLink fieldCode="AU" term="%22Elkholy+AH%22">Elkholy AH</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt.<br /><searchLink fieldCode="AU" term="%22Fadel+YM%22">Fadel YM</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt.<br /><searchLink fieldCode="AU" term="%22Goussarov+G%22">Goussarov G</searchLink>; Microbiology Unit, Belgian Nuclear Research Centre (SCK•CEN), Mol, Belgium.<br /><searchLink fieldCode="AU" term="%22Elshal+AM%22">Elshal AM</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt.<br /><searchLink fieldCode="AU" term="%22El-Hadidi+M%22">El-Hadidi M</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt.<br /><searchLink fieldCode="AU" term="%22Mysara+M%22">Mysara M</searchLink>; Bioinformatics Group, Center for Informatics Science, School of Information Technology and Computer Science, Nile University, Giza, Egypt. mmaysara@nu.edu.eg.
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  Data: <searchLink fieldCode="JN" term="%22100965194%22">BMC bioinformatics</searchLink> [BMC Bioinformatics] 2024 Mar 27; Vol. 25 (1), pp. 131. <i>Date of Electronic Publication: </i>2024 Mar 27.
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        Value: 10.1186/s12859-024-05648-2
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              Text: 2024 Mar 27
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