Training materials
Difficulty level: Not specified
and Authors: The Gulbenkian Training Programme in Bioinformatics
and Scientific topics: Statistics
4 materials found
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Scientific topic
- Statistics
- Bayesian methods4
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- Gaussian processes4
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- Bottom-up proteomics2
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- Chromosome walking1
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- Panels1
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- Python1
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- py1
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- Glittr.org4
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- Statistics4
- R2
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- The Gulbenkian Training Programme in Bioinformatics
- SIB Swiss Institute of Bioinformatics8
- Instituto Gulbenkian de Ciência4
- carpentries-incubator4
- CRUK CI Bioinformatics Core3
- Max Planck Institute for Evolutionary Anthropology3
- Richard McElreath3
- Allen Downey2
- David Dalpiaz2
- Olin College of Engineering2
- Oslo Centre for Biostatistics and Epidemiology2
- UIUC2
- @formbio1
- A. Solomon Kurz1
- Aedin Culhane1
- Aix-Marseille Université1
- András Aszódi1
- Canadian Bioinformatics Workshops1
- Causal Inference in R1
- Computational Biology and Bioinformatics at UCLouvain1
- Dana Farber Cancer Institute, Harvard School of Public Health1
- Daniel Kaplan1
- Danielle Navarro1
- Eindhoven University of Technology1
- G. Jay Kerns1
- Galaxy Project1
- Jacques van Helden1
- Johns Hopkins University1
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- Mojtaba Barzegari1
- Monash Data Fluency1
- Måns Thulin1
- NBIS - National Bioinformatics Infrastructure Sweden1
- Neuromatch Academy1
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- PAIR code1
- Pablo Casas1
- Pachter Lab1
- Paul Roback1
- RStudio Education1
- Stephanie Hicks1
- Stephen Turner1
- Surgical Informatics1
- Sébastien Wieckowski1
- Teaching materials at the Harvard Chan Bioinformatics Core1
- UC Davis Bioinformatics Core Training Page1
- University of Connecticut1
- Wolfgang Huber1
- Youngstown State University1
- bougioukas1
- cambiotraining1
- fast.ai1
- posit-conf-20231
- second scight1
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