A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 1479-7364

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants ; volume:15 ; number:1 ; day:9 ; month:8 ; year:2021 ; pages:1-13 ; date:12.2021
Human genomics ; 15, Heft 1 (9.8.2021), 1-13, 12.2021

Creator: Pandi, Maria-Theodora
Koromina, Maria
Tsafaridis, Iordanis
Patsilinakos, Sotirios
Christoforou, Evangelos
Spek, Peter J. van der
Patrinos, George P.

Contributor: SpringerLink (Online service)

DOI: 10.1186/s40246-021-00352-1

URN: urn:nbn:de:101:1-2021103108151451537698

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:39 AM CEST

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Pandi, Maria-Theodora
Koromina, Maria
Tsafaridis, Iordanis
Patsilinakos, Sotirios
Christoforou, Evangelos
Spek, Peter J. van der
Patrinos, George P.
SpringerLink (Online service)

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A novel machine learning-based approach for the computational functional assessment of pharmacogenomic variants

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Other Objects (12)

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