Galgo: a bi-objective evolutionary meta-heuristic identifies robust transcriptomic classifiers associated with patient outcome across multiple cancer types.

Guerrero-Gimenez, M E; Fernandez-Muñoz, J M; Lang, B J; Holton, K M; Ciocca, D R; Catania, C A; Zoppino, F C M

Guerrero-Gimenez, M E; Fernandez-Muñoz, J M; Lang, B J; Holton, K M; Ciocca, D R; Catania, C A; Zoppino, F C M.

Afiliación

Guerrero-Gimenez ME; Laboratory of Oncology, Institute of Medicine and Experimental Biology of Cuyo (IMBECU), National Scientific and Technical Research Council (CONICET), Mendoza 5500, Argentina.
Fernandez-Muñoz JM; Institute of Biochemistry and Biotechnology, School of Medicine, National University of Cuyo, Mendoza 5500, Argentina.
Lang BJ; Laboratory of Oncology, Institute of Medicine and Experimental Biology of Cuyo (IMBECU), National Scientific and Technical Research Council (CONICET), Mendoza 5500, Argentina.
Holton KM; Institute of Biochemistry and Biotechnology, School of Medicine, National University of Cuyo, Mendoza 5500, Argentina.
Ciocca DR; Department of Radiation Oncology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Catania CA; Harvard Department of Stem Cell and Regenerative Biology, Cambridge, MA 02138, USA.
Zoppino FCM; Laboratory of Oncology, Institute of Medicine and Experimental Biology of Cuyo (IMBECU), National Scientific and Technical Research Council (CONICET), Mendoza 5500, Argentina.

Bioinformatics ; 36(20): 5037-5044, 2020 12 22.

Article en En | MEDLINE | ID: mdl-32638009

Asunto(s)

Neoplasias de la Mama; Transcriptoma; Biología Computacional; Perfilación de la Expresión Génica; Heurística; Humanos

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Transcriptoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Argentina

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