Machine Learning and Systems Biology Approaches to Characterize Dosage-Based Gene Dependencies in Cancer Cells.

Meng-Lin, Kevin; Ung, Choong Yong; Weiskittel, Taylor M; Chen, Alex; Zhang, Cheng; Correia, Cristina; Li, Hu

Meng-Lin, Kevin; Ung, Choong Yong; Weiskittel, Taylor M; Chen, Alex; Zhang, Cheng; Correia, Cristina; Li, Hu.

Afiliação

Meng-Lin K; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Ung CY; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Weiskittel TM; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Chen A; Information Systems and Robotics at Carnegie Mellon University, Pittsburgh, Pennsylvania, USA.
Zhang C; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Correia C; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.
Li H; Center for Individualized Medicine, Department of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic College of Medicine, Rochester, MN, USA.

J Bioinform Syst Biol ; 4(1): 13-32, 2021.

Article em En | MEDLINE | ID: mdl-33842927

Palavras-chave

Gene dependencies; Machine learning

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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: J Bioinform Syst Biol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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