Designing an analysis

This section covers domain-specific resource like statistics, machine learning, adaptive immune receptors and repertories.

The full list of topics:

• statistics,

• machine learning,

• adaptive immune receptor repertoires,

• variant calling,

• assembly,

• transcriptome analysis.

Computational topics:

• Statistics: reference
• Machine learning and causal inference
  • Introduction to machine learning (from a computational biology perspective)
  • Recommended material
• Specialized topics in machine learning and statistics
  • Machine Learning Basics
  • Auto-Encoding Variational Bayes
  • Notes on variational inference

Biological topics:

• Genomics: references
• Immunology: references