- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Gaussian processes
- Cloud computing3
- Computer science3
- HPC3
- High performance computing3
- High-performance computing3
- Bioinformatics2
- Active learning1
- Bayesian methods1
- Biomathematics1
- Biostatistics1
- Computational biology1
- Data analysis1
- Data architecture1
- Data architecture, analysis and design1
- Data design1
- Descriptive statistics1
- Ensembl learning1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- Machine learning1
- Markov processes1
- Mathematical biology1
- Multivariate statistics1
- Neural networks1
- Probabilistic graphical model1
- Probability1
- Recommender system1
- Reinforcement learning1
- Statistics1
- Statistics and probability1
- Supervised learning1
- Theoretical biology1
- Unsupervised learning1
- Show N_FILTERS more
-
-
-
Content provider
- ELIXIR-SI eLearning Platform (EeLP)1
- Show N_FILTERS more
-
-
-
Difficulty level
- Beginner1
- Show N_FILTERS more
-
-
-
Target audience
- Trainers
- Students21
- PhD students3
- Clinicians2
- biologists2
- Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
- Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities1
- Life Science Researchers1
- Training Designers1
- Training instructors1
- statisticians1
- Show N_FILTERS more
-
-
-
Resource type
- Training materials1
- Show N_FILTERS more
-
- Show archived materials