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Content provider
- ELIXIR Portugal7
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Keyword
- Proteomics2
- Data analysis1
- General Linear Models1
- Genomics1
- Integrative1
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Mass Spectroscopy1
- cancer1
- chemotherapy1
- data visualization1
- drug prioritization1
- gene panels1
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Scientific topic
- Bayesian methods2
- Biostatistics2
- Descriptive statistics2
- Gaussian processes2
- Inferential statistics2
- Markov processes2
- Multivariate statistics2
- Probabilistic graphical model2
- Probability2
- Statistics2
- Statistics and probability2
- Active learning1
- Bioinformatics1
- Biomarkers1
- Biotherapeutics1
- Cancer1
- Cancer biology1
- Diagnostic markers1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neoplasm1
- Neoplasms1
- Neural networks1
- Oncology1
- Proteogenomics1
- Recommender system1
- Reinforcement learning1
- Supervised learning1
- Unsupervised learning1
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Operation
- Allele calling1
- Classification1
- Clustering1
- Data handling1
- Empirical Bayes1
- Exome variant detection1
- File handling1
- File processing1
- Genome variant detection1
- Germ line variant calling1
- Mathematical modelling1
- Modelling and simulation1
- Mutation detection1
- Principal component analysis1
- Processing1
- Report handling1
- Somatic variant calling1
- Statistical inference1
- Statistical modelling1
- Utility operation1
- Variant calling1
- Variant mapping1
- Variant pattern analysis1
- Variant prioritisation1
- de novo mutation detection1
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Event type
- Workshops and courses5
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Country
- Portugal8
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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
- PhD students2
- post-docs2
- 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
- Biologists, Genomicists, Computer Scientists1
- Life Science Researchers1
- Research Assistants and Research Associates1
- Researchers1
- Scientists1
- bioinformaticians1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- oncologists1
- students1
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Eligibility
- Registration of interest6
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