Training materials
Keywords: R
and Scientific topics: Transcriptome
and Contributors: SIB Swiss Institute of Bioinformatics
1 material found
- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Transcriptome
- Bayesian methods2
- Biostatistics2
- Descriptive statistics2
- Gaussian processes2
- Inferential statistics2
- Markov processes2
- Multivariate statistics2
- Probabilistic graphical model2
- Probability2
- Statistics2
- Statistics and probability2
- Comparative transcriptomics1
- Enrichment1
- Enrichment analysis1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional enrichment1
- Integrative omics1
- Multi-omics1
- Multiomics1
- Over-representation analysis1
- Pan-omics1
- Panomics1
- R1
- R program1
- R script1
- Transcriptomics1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified1
- Show N_FILTERS more
-
-
-
Contributor
- SIB Swiss Institute of Bioinformatics
- UC Davis Bioinformatics Core Training Page8
- Boston University2
- Health Data Science Sandbox2
- Lukas Weber2
- Alex's Lemonade Stand Foundation1
- Broad Institute1
- CDSB1
- CRUK CI Bioinformatics Core1
- Computational Biology and Bioinformatics at UCLouvain1
- Galaxy Project1
- Instituto Gulbenkian de Ciência1
- Monash Data Fluency1
- OSCA Source Code Management1
- SAiGENCI1
- Stefano Mangiola1
- Sydney Precision Data Science Centre1
- Teaching materials at the Harvard Chan Bioinformatics Core1
- The Gulbenkian Training Programme in Bioinformatics1
- Tidy-transcriptomics workshops1
- carpentries-incubator1
- dario righelli1
- tidyomics1
- Show N_FILTERS more
-
- Show archived materials
