Transfer learning of clinical outcomes from preclinical molecular data, principles and perspectives.

Kowald, Axel; Barrantes, Israel; Möller, Steffen; Palmer, Daniel; Murua Escobar, Hugo; Schwerk, Anne; Fuellen, Georg

Kowald, Axel; Barrantes, Israel; Möller, Steffen; Palmer, Daniel; Murua Escobar, Hugo; Schwerk, Anne; Fuellen, Georg.

Afiliação

Kowald A; Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.
Barrantes I; Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.
Möller S; Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.
Palmer D; Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.
Murua Escobar H; Department of Medicine, Clinic III, Hematology, Oncology, Palliative Medicine, Rostock University Medical Center, Rostock, Germany.
Schwerk A; CENTOGENE GmbH, Am Strande 7, Rostock, Germany.
Fuellen G; Institute for Biostatistics and Informatics in Medicine and Ageing Research, Rostock University Medical Center, Rostock, Germany.

Brief Bioinform ; 23(3)2022 05 13.

Article em En | MEDLINE | ID: mdl-35453145

Assuntos

Aprendizado de Máquina

Palavras-chave

biomarkers; inductive transfer learning; shared denominators; transductive transfer learning; transfer learning; unsupervised transfer learning

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

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