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, 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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  Data: Utilizing genomic signatures to gain insights into the dynamics of SARS-CoV-2 through Machine and Deep Learning techniques.
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        Value: 10.1186/s12859-024-05648-2
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              Text: 3/27/2024
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              Y: 2024
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