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Content provider
- ELIXIR Portugal2
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Scientific topic
- Active learning1
- Bayesian methods1
- Biostatistics1
- Descriptive statistics1
- Ensembl learning1
- Gaussian processes1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Multivariate statistics1
- Neural networks1
- Probabilistic graphical model1
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- Recommender system1
- Reinforcement learning1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Unsupervised learning1
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Event type
- Workshops and courses2
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Country
- Portugal2
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Organizer
- Pedro Fernandes2
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- ELIXIR1
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Target audience
- post-docs
- PhD students12
- Life Science Researchers11
- Researchers9
- Master students6
- Technicians6
- life scientists5
- 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
- Biologists, Genomicists, Computer Scientists2
- Operators, developers and managers of bioinformatics resources2
- PhD Students2
- bioinformaticians2
- 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.2
- Institutions and other external Institutions or individuals1
- Researchers in Life Sciences1
- health professionals1
- studies human diseases or developmental biology1
- Biomedical researchers1
- Clinical Scientists1
- Industry1
- PhD candidates1
- Postdoctoral Researchers1
- Research Assistants and Research Associates1
- Researcher in life sciences1
- Scientists1
- biocurators1
- biology and bioinformatics sophomore undergraduates1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- everyone who is interested in learning to use metabolic modelling in their research, using user-friendly tools. No programming skills are required.1
- oncologists1
- plant researchers1
- software developers, bioinformaticians1
- students1
- teachers1
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Eligibility
- Registration of interest1
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