Cancer et génome : bioinformatique, biostatistiques et épidémiologie d'un système complexe

Type: Research unit evaluation report

Evaluation campaign: 2017-2018 (group D) - Published on: 20/02/2018

Institution(s) concerned: Institut Curie , Institut national de la santé et de la recherche médicale - INSERM

Disciplinary research field: Life and Earth Sciences (SVE) ; SVE2 Cellular Biology, Imaging, Molecular Biology, Biochemistry, Genomics, Systemic Biology, Development, Structural Biology ; SVE6 Public Health, Epidemiology, Clinical Research

Scientific field(s): 5 - Biologie, medecine et santé ; 1 - Mathématiques et leurs interactions

ERC panel(s): PE6 Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems ; LS6 Immunity and infection: immunobiology, aetiology of immune disorders, microbiology, virology, parasitology, global and other infectious diseases, population dynamics of infectious diseases, veterinary medicine ; LS3 Cellular and Developmental Biology: cell biology, cell physiology, signal transduction, organogenesis, developmental genetics, pattern formation in plants and animals ; LS1 Molecular and Structural Biology and Biochemistry: molecular biology, biochemistry, biophysics, structural biology, biochemistry of signal transduction ; LS7 Diagnostic tools, therapies and public health: aetiology, diagnosis and treatment of disease, public health, epidemiology, pharmacology, clinical medicine, regenerative medicine, medical ethics

Name of unit teams: Épidémiologie génétique des cancers (Genetic Epidemiology of Cancer) ; Bioinformatique et biologie des systèmes du cancer (Comptational Systems Biology of Cancer) ; Apprentissage statistique et modélisation des systèmes biologiques (Statistical Machine Learning and Modelling of Biological Systems) ; Méthodes statistiques pour une médecine de précision / Statistical Methods for Precision Medicine (ex Biostatistiques cliniques / Clinical Biostatistics)

Keywords: Genetic Epidemiology ; Genetics ; Cancer ; Computational Systems Biology ; Clinical Biostatistics ; Machine Learning ; Network Modelling ; Bioinformatics ; Precision Medicine ; High-dimensional analysis ; High-dimentional statistics ; Big Data ; Predictive Biomarker ; SVE5