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Content provider
- European Bioinformatics Institute (EBI)1
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Scientific topic
- Data design
- Omics2
- Active learning1
- Biological modelling1
- Biological system modelling1
- Data analysis1
- Data architecture1
- Data architecture, analysis and design1
- Data integration1
- Data integration and warehousing1
- Data warehousing1
- Ensembl learning1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Neural networks1
- Recommender system1
- Reinforcement learning1
- Supervised learning1
- Systems biology1
- Systems modelling1
- Unsupervised learning1
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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-introduction For advanced-level training in using large-scale multiomics data and machine learning to infer biological models you may wish to consider our course on Systems Biology: From large datasets to biological insight.1
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Instructor
- Manik Garg
- Ajay Mishra1
- Andrew Hercules1
- Andrew Stubbs1
- Danish Memon1
- Dezso Modos1
- Johannes Griss1
- Lee Larcombe1
- Magnus Øverlie Arntzen1
- Maria Zimmermann1
- Marton Olbei1
- Pablo Porras Millan1
- Rachel Lyne1
- Samuel Collombet1
- Sandra Orchard1
- Sergio Contrino1
- Tamás Korcsmáros1
- Vy Nguyen1
- Yasset Perez-Riverol1
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