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Content provider
- ELIXIR Portugal6
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Keyword
- Clinical oncology1
- Drug Targetting1
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
- Metagenomics1
- Proteomics1
- Variant calling1
- cancer1
- chemotherapy1
- drug prioritization1
- gene panels1
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Scientific topic
- Cancer2
- Cancer biology2
- Neoplasm2
- Neoplasms2
- Oncology2
- Active learning1
- Bayesian methods1
- Bioinformatics1
- Biomarkers1
- Biome sequencing1
- Biostatistics1
- Biotherapeutics1
- Descriptive statistics1
- Diagnostic markers1
- Ensembl learning1
- Gaussian processes1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Metagenomic sequencing1
- Metagenomics1
- Multivariate statistics1
- Neural networks1
- Probabilistic graphical model1
- Probability1
- Recommender system1
- Reinforcement learning1
- Shotgun metagenomic sequencing1
- Shotgun metagenomics1
- 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 courses5
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Country
- Portugal6
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Organizer
- Pedro Fernandes6
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Sponsor
- Oeiras Valley3
- ELIXIR1
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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
- Bioinformaticians1
- Drug resistance1
- Microbiologists1
- Scientists1
- bioinformaticians1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- healthcare professionals 1
- 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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