Training materials
Keywords: R
and Scientific topics: Probabilistic graphical model
and Contributors: SIB Swiss Institute of Bioinformatics
2 materials found
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Scientific topic
- Probabilistic graphical model
- Bayesian methods2
- Biostatistics2
- Descriptive statistics2
- Gaussian processes2
- Inferential statistics2
- Markov processes2
- Multivariate statistics2
- 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
- Transcriptome1
- Transcriptomics1
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Content provider
- Glittr.org2
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- Not specified2
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Contributor
- SIB Swiss Institute of Bioinformatics
- Instituto Gulbenkian de Ciência2
- Oslo Centre for Biostatistics and Epidemiology2
- The Gulbenkian Training Programme in Bioinformatics2
- @formbio1
- A. Solomon Kurz1
- Aix-Marseille Université1
- CRUK CI Bioinformatics Core1
- Causal Inference in R1
- Computational Biology and Bioinformatics at UCLouvain1
- Daniel Kaplan1
- Danielle Navarro1
- David Dalpiaz1
- G. Jay Kerns1
- Galaxy Project1
- Jacques van Helden1
- Matthew B. Jané1
- ModernDive1
- Monash Data Fluency1
- Måns Thulin1
- OpenIntro1
- Paul Roback1
- RStudio Education1
- Stephen Turner1
- Surgical Informatics1
- Sébastien Wieckowski1
- UC Davis Bioinformatics Core Training Page1
- UIUC1
- University of Connecticut1
- Youngstown State University1
- bougioukas1
- cambiotraining1
- carpentries-incubator1
- posit-conf-20231
- second scight1
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