Training materials
Scientific topics: Data acquisition or Data integration and warehousing or FAIR data or Gene expression and microarray or Machine learning or Microarray experiment or Virology
-
Presentation
Workshop FAIR & Data stewardship for the ITN NUTRIOME project (2024)
• beginnerNutritional science Data management FAIR data Data handling Analysis data stewardship data life cycle Training FAIR Nutrition -
mlr-org/mlr3book
-
PAIR-code/understanding-umap
-
mlabonne/llm-course
-
Naviden/ML-intro-with-Python
-
Ready for BioData Management? Intensive Course
-
PickyBinders/geometric-learning-protein-structures-course
-
EmilHvitfeldt/smltar
-
pablo14/data-science-live-book
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning