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Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.

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Title: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
Authors: Stan, Anda1 (AUTHOR), Bosart, Korey1 (AUTHOR), Kaur, Mehak1 (AUTHOR), Vo, Martin2 (AUTHOR), Escorcia, Wilber2 (AUTHOR), Yoder, Ryan J.3 (AUTHOR), Bouley, Renee A.3 (AUTHOR) bouley.8@osu.edu, Petreaca, Ruben C.4,5 (AUTHOR) bouley.8@osu.edu
Source: PLoS ONE. 2/26/2024, Vol. 19 Issue 2, p1-19. 19p.
Database: Academic Search Ultimate
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  Data: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 2/26/2024, Vol. 19 Issue 2, p1-19. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175675347
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        Value: 10.1371/journal.pone.0299114
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        Text: English
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      – TitleFull: Detection of driver mutations and genomic signatures in endometrial cancers using artificial intelligence algorithms.
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              Text: 2/26/2024
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