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Prediction of treatment (tx)-induced fatigue in breast cancer (BC) patients (pts) using machine learning on genome-wide association (GWAS) data in the prospective CANTO cohort.

Year: 2019
Type: conference-abstract
DOI: 10.1200/jco.2019.37.15_suppl.11515
Authors: Sangkyu Lee, Joseph O. Deasy, Jung Hun Oh, Antonio Di Meglio, Sandrine Boyault, Marina Rousseau-Tsangaris, Celine Besse, Emilie Thomas, Anne Boland-Augé, Paul H. Cottu, Olivier Tredan, Christelle Levy, Anne-Laure Martin, Sibille Everhard, Patricia A. Ganz, Ann H. Partridge, Stefan Michiels, Jean-Francois Deleuze, Fabrice Andre, Ines Maria Vaz Duarte Luis
Institutions: Memorial Sloan Kettering Cancer Center, Institut Gustave Roussy, Centre Léon Bérard, Centre National de Recherche en Génomique Humaine, Institut Curie, Centre François Baclesse, UniCancer Group, University of California, Los Angeles, Dana-Farber Cancer Institute
Language: English
Subfield: Oncology
Field: Medicine
Open Access status: closed
OpenAlex ID: W2972059066
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