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Keyword
- bioinformatics
- DNA-seq2
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- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression1
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Scientific topic
- Bioinformatics2
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Target audience
- post-docs
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- Anyone intersted in GWAS and using the H3Africa genotyping chip1
- Anyone who wants to learn more about GWAS1
- Beginners who have very little background in using the command line and are enthusiastic to learn more1
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- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
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- The course is open to scientists of all age from academia, health care and industry. Level approximately corresponding to PhD student or postdoc depending on experience. Applicants welcome from Sweden, the Nordics, and other countries.1
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA1
- Undergraduate students1
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