Interpretable machine learning of amino acid patterns in proteins: a statistical ensemble approach.
Anna BraghettoEnzo OrlandiniMarco BaiesiPublished in: CoRR (2023)
Keyphrases
- amino acids
- machine learning
- protein sequences
- protein function
- amino acid sequences
- protein structure
- computational biology
- secondary structure
- protein structure prediction
- protein folding
- physicochemical properties
- statistical methods
- data mining
- protein families
- physico chemical
- machine learning methods
- data analysis
- protein classification
- sequence alignment
- information theoretic
- feature selection
- knowledge discovery
- molecular biology
- tertiary structure
- pattern mining
- statistical analysis
- pattern discovery
- contact maps
- experimentally determined