Training materials
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and Scientific topics: Top-down proteomics
and Contributors: Daniel Blankenberg
2 materials found
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Scientific topic
- Top-down proteomics
- Bayesian methods2
- Biostatistics2
- Bottom-up proteomics2
- Descriptive statistics2
- Discovery proteomics2
- Gaussian processes2
- Inferential statistics2
- MS-based targeted proteomics2
- MS-based untargeted proteomics2
- Markov processes2
- Metaproteomics2
- Multivariate statistics2
- Peptide identification2
- Probabilistic graphical model2
- Probability2
- Protein and peptide identification2
- Proteomics2
- Quantitative proteomics2
- Statistics2
- Statistics and probability2
- Targeted proteomics2
- Comparative transcriptomics1
- Transcriptome1
- Transcriptomics1
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Content provider
- GTN2
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Keyword
- Proteomics2
- ML1
- cancer1
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Difficulty level
- Intermediate2
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Target audience
- Students2
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Contributor
- Daniel Blankenberg
- Björn Grüning9
- Matthias Fahrner8
- Melanie Föll8
- Pratik Jagtap8
- Subina Mehta8
- Timothy J. Griffin8
- Florian Christoph Sigloch7
- James Johnson5
- Praveen Kumar5
- Emma Leith4
- Marie Crane3
- Ray Sajulga3
- Computational Biology and Bioinformatics at UCLouvain2
- David Christiany2
- Florence Combes2
- Instituto Gulbenkian de Ciência2
- Jayadev Joshi2
- The Gulbenkian Training Programme in Bioinformatics2
- Valentin Loux2
- Yves Vandenbrouck2
- Andrea Argentini1
- Charlotte Soneson1
- Clemens Blank1
- Frederik Coppens1
- Galaxy Project1
- Hana Pergl Sustkova1
- Health Data Science Sandbox1
- Janick Mathys1
- John "Scooter" Morris1
- Klemens Fröhlich1
- Koen Van den Berge1
- Laurent Gatto1
- Lieven Clement1
- Lydie Lane1
- Marek Vrbacky1
- Martin Hubalek1
- Martin Morgan1
- Melanie Foell1
- Oliver Crook1
- Pavel Dvorak1
- PickyBinders1
- statOmics1
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Resource type
- e-learning2
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- Associated Workflows2
- Associated Training Datasets1
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