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Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles.

, , , , , , , , and . Artif. Intell. Medicine, (2019)

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Combining clustering and classification ensembles: A novel pipeline to identify breast cancer profiles., , , , , , , , and . Artif. Intell. Medicine, (2019)Assessing agreement between multiple raters with missing rating information, applied to breast cancer tumour grading., , , , and . PloS one, 3 (8): e2925 (January 2008)Mesures de concordància.Cluster-based visualisation with scatter matrices., , , , and . Pattern Recognit. Lett., 29 (13): 1814-1823 (2008)A methodology to identify consensus classes from clustering algorithms applied to immunohistochemical data from breast cancer patients., , , , , , , , , and 4 other author(s). Comput. Biol. Medicine, 40 (3): 318-330 (2010)A quantifier-based fuzzy classification system for breast cancer patients., , , , , , , and . Artif. Intell. Medicine, 58 (3): 175-184 (2013)An End-to-End Deep Learning Histochemical Scoring System for Breast Cancer TMA., , , , , , , , , and . IEEE Trans. Medical Imaging, 38 (2): 617-628 (2019)Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups., , , , , , , , , and 14 other author(s). Nat., 567 (7748): 399-404 (2019)