Positional SHAP (PoSHAP) for Interpretation of machine learning models trained from biological sequences.
Quinn DickinsonJesse G. MeyerPublished in: PLoS Comput. Biol. (2022)
Keyphrases
- machine learning models
- biological sequences
- machine learning algorithms
- protein sequences
- sequence data
- spam filtering
- machine learning approaches
- computational biology
- molecular biology
- machine learning
- dna sequences
- predictive model
- biological data
- binding sites
- learning models
- learning algorithm
- genetic algorithm
- loss function
- training set
- data mining