On the prediction of non-CG DNA methylation using machine learning.

Sereshki, Saleh; Lee, Nathan; Omirou, Michalis; Fasoula, Dionysia; Lonardi, Stefano

Sereshki, Saleh; Lee, Nathan; Omirou, Michalis; Fasoula, Dionysia; Lonardi, Stefano.

Afiliación

Sereshki S; Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.
Lee N; Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.
Omirou M; Department of Agrobiotechnology, Agricultural Microbiology Laboratory, Agricultural Research Institute, Nicosia 1516, Cyprus.
Fasoula D; Department of Plant Breeding, Agricultural Research Institute, Nicosia 1516, Cyprus.
Lonardi S; Department of Computer Science and Engineering, University of California, Riverside, CA 92521, USA.

NAR Genom Bioinform ; 5(2): lqad045, 2023 Jun.

Article en En | MEDLINE | ID: mdl-37206627

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: NAR Genom Bioinform Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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