PRECISE: a domain adaptation approach to transfer predictors of drug response from pre-clinical models to tumors.

Mourragui, Soufiane; Loog, Marco; van de Wiel, Mark A; Reinders, Marcel J T; Wessels, Lodewyk F A

Mourragui, Soufiane; Loog, Marco; van de Wiel, Mark A; Reinders, Marcel J T; Wessels, Lodewyk F A.

Afiliação

Mourragui S; Computational Cancer Biology, Division of Molecular Carcinogenesis, Oncode Institute, the Netherlands Cancer Institute, Amsterdam CX, The Netherlands.
Loog M; Department of Intelligent Systems, Faculty of EEMCS, Delft University of Technology, Delft CD, The Netherlands.
van de Wiel MA; Department of Intelligent Systems, Faculty of EEMCS, Delft University of Technology, Delft CD, The Netherlands.
Reinders MJT; Department of Computer Science, University of Copenhagen, Copenhagen, Denmark.
Wessels LFA; Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, Amsterdam University Medical Centers, Amsterdam, The Netherlands.

Bioinformatics ; 35(14): i510-i519, 2019 07 15.

Article em En | MEDLINE | ID: mdl-31510654

Assuntos

Antineoplásicos; Neoplasias; Animais; Antineoplásicos/farmacologia; Fenômenos Biológicos; Modelos Animais de Doenças; Previsões; Humanos; Neoplasias/tratamento farmacológico; Software

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Animals / Humans Idioma: En Revista: Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Holanda

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