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Content provider
- BioData.pt19
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Keyword
- EeLP6
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- metabolic modelling, Genome, open-source software platform1
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- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
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Scientific topic
- Data management8
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- Bioinformatics3
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- Active learning1
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Venue
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande3
- University of Ljubljana, Faculty of Medicine2
- University of Minho - Campus of Gualtar, Rua da Universidade2
- Champalimaud Foundation, Avenida Brasília1
- Cirad, 389, Avenue Agropolis1
- Escuela Técnica Superior de Ingeniería Informática, 35, Bulevar Louis Pasteur1
- Faro1
- INESC, 9 Rua Alves Redol1
- ITQB NOVA, Avenida da República1
- ITQB NOVA, Avenida da República1
- Instituto Gulbenkian de Ciência1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- International Nanotechnology Laboratories - INL1
- Lisbon School of Medicine, Egas Moniz Building, Av. Prof. Egas Moniz1
- Universidade do Algarve - Campus de Gambelas1
- Wellcome Genome Campus1
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Target audience
- PhD students10
- Life Science Researchers9
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- Master students6
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- life scientists5
- Operators, developers and managers of bioinformatics resources2
- Institutions and other external Institutions or individuals1
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- biology and bioinformatics sophomore undergraduates1
- everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
- plant researchers1
- post-docs1
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Language
- English1
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