Tutorials

Getting Started

For an introduction into AAanalysis, explore our Quick start and Slow start tutorials, both offering the same examples with the latter explaining the conceptual background. The Plotting Prelude tutorial can help you to create publication-ready plots.

• Quick start with AAanalysis
• Slow start with AAanalysis

Data Handling

Learn how to load protein benchmarking datasets and amino acid scale sets in the Data Loader and Scale Loader tutorials.

• Data loading
• Scale loading

Feature Engineering

Explore interpretable feature engineering, the core of AAanalysis, with the AAclust, SequenceFeature, and CPP tutorials.

• AAclust: Selecting redundancy-reduced scale sets
• SequenceFeature: Creation of CPP feature components
• CPP: Identification of physicochemical signatures

PU Learning

Start positive-Unlabeled (PU) learning to tackle unbalanced and small data through our dPULearn tutorial.

• dPULearn: Learning from unbalanced data

Explainable AI

Explaining sample level predictions at single-residue resolution is introduced in our ShapModel tutorial.

• ShapModel: Explaining with single-residue resolution