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Content provider
- ELIXIR Portugal4
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Keyword
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Proteomics1
- cancer1
- chemotherapy1
- drug prioritization1
- gene panels1
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Scientific topic
- Active learning1
- Bayesian methods1
- Bioinformatics1
- Biomarkers1
- Biostatistics1
- Biotherapeutics1
- Cancer1
- Cancer biology1
- Descriptive statistics1
- Diagnostic markers1
- Ensembl learning1
- Gaussian processes1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Multivariate statistics1
- Neoplasm1
- Neoplasms1
- Neural networks1
- Oncology1
- Probabilistic graphical model1
- Probability1
- Recommender system1
- Reinforcement learning1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Unsupervised learning1
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Operation
- Allele calling1
- Classification1
- Clustering1
- Empirical Bayes1
- Exome variant detection1
- Genome variant detection1
- Germ line variant calling1
- Mutation detection1
- Principal component analysis1
- Somatic variant calling1
- Statistical inference1
- Statistical modelling1
- Variant calling1
- Variant mapping1
- Variant pattern analysis1
- Variant prioritisation1
- de novo mutation detection1
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Event type
- Workshops and courses4
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Venue
- Instituto Gulbenkian de Ciência
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande4
- 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 Ciência, Oeiras, PT1
- Instituto de Medicina Molecular (IMM), Avenida Professor Egas Moniz1
- International Nanotechnology Laboratories - INL1
- Lisbon School of Medicine, Egas Moniz Building, Av. Prof. Egas Moniz1
- Online and F2F (See details in training documentation)1
- R. Q.ta Grande 6, 6, Rua Quinta Grande1
- Rua da Quinta Grande, 61
- Universidade do Algarve - Campus de Gambelas1
- Wellcome Genome Campus1
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Country
- Portugal4
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Organizer
- Pedro Fernandes4
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Sponsor
- ELIXIR1
- Oeiras Valley1
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Target audience
- Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.2
- PhD Students2
- Scientists1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- oncologists1
- post-docs1
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- students1
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Eligibility
- Registration of interest3
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