Classifying high-dimensional phenotypes with ensemble learning.

Devine, Jay; Kurki, Helen K; Epp, Jonathan R; Gonzalez, Paula N; Claes, Peter; Hallgrímsson, Benedikt

Devine, Jay; Kurki, Helen K; Epp, Jonathan R; Gonzalez, Paula N; Claes, Peter; Hallgrímsson, Benedikt.

Afiliación

Devine J; Department of Cell Biology and Anatomy, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB T2N 4N1, CANADA.
Kurki HK; Department of Anthropology, University of Victoria, 3800 Finnerty Rd, Victoria, BC V8P 5C2, CANADA.
Epp JR; Department of Cell Biology and Anatomy, Cumming School of Medicine, University of Calgary, 3330 Hospital Dr NW, Calgary, AB T2N 4N1, CANADA.
Gonzalez PN; Institute for Studies in Neuroscience and Complex Systems (ENyS) CONICET, Universidad Nacional de La Plata, Av. Calchaquí 5402, Florencio Varela, Buenos Aires, ARGENTINA.
Claes P; Department of Human Genetics, KU Leuven, 3000 Leuven, BELGIUM.
Hallgrímsson B; Department of Electrical Engineering, ESAT/PSI, KU Leuven, 3000 Leuven, BELGIUM.

bioRxiv ; 2023 May 29.

Article en En | MEDLINE | ID: mdl-37398168

Palabras clave

R; blending; classification; ensemble learning; landmarks; machine learning; morphometrics; phenotypes

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

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