Training materials
Content provider: Elixir TeSS
and Scientific topics: Multi-omics
and Difficulty level: Not specified
1 material found
- Home
- Materials
Filter
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Multi-omics
- Python54
- Python program54
- Python script54
- py54
- FAIR data24
- Findable, accessible, interoperable, reusable data24
- Data management16
- Metadata management16
- Research data management (RDM)16
- Active learning12
- Ensembl learning12
- Kernel methods12
- Knowledge representation12
- Machine learning12
- Neural networks12
- Recommender system12
- Reinforcement learning12
- Supervised learning12
- Unsupervised learning12
- Bayesian methods6
- Biostatistics6
- Descriptive statistics6
- Gaussian processes6
- Inferential statistics6
- Markov processes6
- Multivariate statistics6
- Probabilistic graphical model6
- Probability6
- Statistics6
- Statistics and probability6
- Data rendering5
- Data visualisation5
- Open science3
- R2
- R program2
- R script2
- Integrative omics1
- Multiomics1
- Network1
- Pan-omics1
- Panomics1
- Pathway1
- Pathway or network1
- SPARQL1
- SPARQL Protocol and RDF Query Language1
- SQL1
- Structured Query Language1
- Show N_FILTERS more
-
-
-
Content provider
- Elixir TeSS
- Show N_FILTERS more
-
-
-
Keyword
- FAIR data1
- Multiomics1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified
- Show N_FILTERS more
-
-
-
Contributor
- Waldron Lab at the CUNY SPH1
- Show N_FILTERS more
-
- Show materials from all spaces
- Show disabled materials
- Show materials with broken links
- Show archived materials
