Massive integrative gene set analysis enables functional characterization of breast cancer subtypes

Massive integrative gene set analysis enables functional characterization of breast cancer subtypes Journal of Biomedical Informatics 93 (2019) 103157 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Massive integrative gene set analysis enables functional characterization of breast cancer subtypes a,b a,c,d e a,c, Juan C. Rodriguez , Gabriela A. Merino , Andrea S. Llera , Elmer A. Fernández Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas (CIDIE), Universidad Católica de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina FAMAF, Universidad Nacional de Córdoba, Argentina Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Argentina Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Argentina Laboratorio de Terapia Molecular y Celular, IIBBA, Fundación Instituto Leloir, CONICET, Buenos Aires, Argentina ARTICLE INFO ABSTRACT Keywords: The availability of large-scale repositories and integrated cancer genome efforts have created unprecedented Big omics data opportunities to study and describe cancer biology. In this sense, the aim of translational researchers is the Multiple omics integration of multiple omics data to achieve a better identification of homogeneous subgroups of patients in Biological insight order to develop adequate diagnostic and treatment strategies from the personalized medicine perspective. So Knowledge discovery far, existing integrative methods have grouped together omics data information, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Biomedical Informatics Elsevier

Massive integrative gene set analysis enables functional characterization of breast cancer subtypes

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Publisher
Elsevier
Copyright
Copyright © 2019 Elsevier Inc.
ISSN
1532-0464
eISSN
1532-0480
D.O.I.
10.1016/j.jbi.2019.103157
Publisher site
See Article on Publisher Site

Abstract

Journal of Biomedical Informatics 93 (2019) 103157 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Massive integrative gene set analysis enables functional characterization of breast cancer subtypes a,b a,c,d e a,c, Juan C. Rodriguez , Gabriela A. Merino , Andrea S. Llera , Elmer A. Fernández Centro de Investigación y Desarrollo en Inmunología y Enfermedades Infecciosas (CIDIE), Universidad Católica de Córdoba, Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Córdoba, Argentina FAMAF, Universidad Nacional de Córdoba, Argentina Facultad de Ciencias Exactas, Físicas y Naturales, Universidad Nacional de Córdoba, Argentina Facultad de Ingeniería, Universidad Nacional de Entre Ríos, Argentina Laboratorio de Terapia Molecular y Celular, IIBBA, Fundación Instituto Leloir, CONICET, Buenos Aires, Argentina ARTICLE INFO ABSTRACT Keywords: The availability of large-scale repositories and integrated cancer genome efforts have created unprecedented Big omics data opportunities to study and describe cancer biology. In this sense, the aim of translational researchers is the Multiple omics integration of multiple omics data to achieve a better identification of homogeneous subgroups of patients in Biological insight order to develop adequate diagnostic and treatment strategies from the personalized medicine perspective. So Knowledge discovery far, existing integrative methods have grouped together omics data information,

Journal

Journal of Biomedical InformaticsElsevier

Published: May 1, 2019

References

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