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SfB knowledge base documentation
SfB knowledge base documentation

Getting started:

  • Getting started in bioinformatics
  • Getting started with genomics
  • Getting started with immunology and adaptive immune receptors

Topics:

  • Designing an analysis
    • Statistics: reference
    • Machine learning and causal inference
      • Brief overview of machine learning in computational biology
      • Introduction to Machine Learning
      • Introduction to machine learning models and algorithms
      • Data representation in machine learning
      • Machine learning model comparison and uncertainty
      • Transparency and reproducibility in machine learning
    • Specialized topics in machine learning and statistics
      • Machine Learning Basics
      • Auto-Encoding Variational Bayes
      • Notes on variational inference
    • Genomics: references
    • Immunology: references
  • Programming
    • Getting started with programming
    • Clean code
  • Setting up and organizing a project
    • Services to share developed tools
    • Containers
  • Running an analysis
  • Academic Writing
    • Writing an essay for master students

Specialized topics in machine learning and statistics¶

Note

Aim: discuss topics of interest in more details

Level: beginner 🌱 or apprentice 🌿 (depending on the topic)

Topics:

  • Machine Learning Basics
  • Auto-Encoding Variational Bayes
  • Notes on variational inference
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Machine Learning Basics
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Transparency and reproducibility in machine learning
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