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Content provider
- European Bioinformatics Institute (EBI)1
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Keyword
- Data visualisation
- Cytoscape3
- networks and pathways3
- Multiomics2
- Biological networks1
- Building biological networks1
- Cross domain (cross-domain)1
- DNA & RNA (dna-rna)1
- Data integration1
- Graph theory1
- Multiomics data integration1
- Pathway analysis1
- Proteins (proteins)1
- Reactome pathways database1
- ReactomeGSA1
- Single cell RNA-seq1
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Scientific topic
- Network
- Data rendering9
- Data visualisation9
- Bayesian methods1
- Biostatistics1
- Data analysis1
- Data architecture1
- Data architecture, analysis and design1
- Data design1
- Descriptive statistics1
- Gaussian processes1
- Inferential statistics1
- Markov processes1
- Multivariate statistics1
- Omics1
- Pathway1
- Pathway or network1
- Probabilistic graphical model1
- Probability1
- Protein structure1
- Protein structure analysis1
- Protein tertiary structure1
- Statistics1
- Statistics and probability1
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Event type
- Workshops and courses1
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Target audience
- This introductory course is aimed at biologists who are embarking on multiomics projects and computational biologists/bioinformaticians who wish to gain a better knowledge of the biological challenges presented when working with integrated datasets. Some practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
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