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. |
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| Authors: | Elsherbini, Ahmed M. A.1 (AUTHOR), Elkholy, Amr Hassan1 (AUTHOR), Fadel, Youssef M.1 (AUTHOR), Goussarov, Gleb2 (AUTHOR), Elshal, Ahmed Mohamed1 (AUTHOR), El-Hadidi, Mohamed1 (AUTHOR), Mysara, Mohamed1 (AUTHOR) mmaysara@nu.edu.eg |
| Source: | BMC Bioinformatics. 3/27/2024, Vol. 25 Issue 1, p1-17. 17p. |
| Database: | Academic Search Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: asn DbLabel: Academic Search Ultimate An: 176299932 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Elsherbini%2C+Ahmed+M%2E+A%2E%22">Elsherbini, Ahmed M. A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elkholy%2C+Amr+Hassan%22">Elkholy, Amr Hassan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fadel%2C+Youssef+M%2E%22">Fadel, Youssef M.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Goussarov%2C+Gleb%22">Goussarov, Gleb</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Elshal%2C+Ahmed+Mohamed%22">Elshal, Ahmed Mohamed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22El-Hadidi%2C+Mohamed%22">El-Hadidi, Mohamed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mysara%2C+Mohamed%22">Mysara, Mohamed</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mmaysara@nu.edu.eg</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22BMC+Bioinformatics%22">BMC Bioinformatics</searchLink>. 3/27/2024, Vol. 25 Issue 1, p1-17. 17p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=176299932 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12859-024-05648-2 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Elsherbini, Ahmed M. A. – PersonEntity: Name: NameFull: Elkholy, Amr Hassan – PersonEntity: Name: NameFull: Fadel, Youssef M. – PersonEntity: Name: NameFull: Goussarov, Gleb – PersonEntity: Name: NameFull: Elshal, Ahmed Mohamed – PersonEntity: Name: NameFull: El-Hadidi, Mohamed – PersonEntity: Name: NameFull: Mysara, Mohamed IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 03 Text: 3/27/2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 14712105 Numbering: – Type: volume Value: 25 – Type: issue Value: 1 Titles: – TitleFull: BMC Bioinformatics Type: main |
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