Prediction of antimicrobial activity of peptides using relational machine learning.
Andrea SzabóováOndrej KuzelkaFilip ZeleznýPublished in: BIBM Workshops (2012)
Keyphrases
- machine learning
- prediction accuracy
- machine learning algorithms
- learning tasks
- computer vision
- prediction model
- prediction algorithm
- decision trees
- pattern recognition
- computer science
- information extraction
- inductive learning
- relational learning
- learning algorithm
- predictive modeling
- databases
- inductive logic programming
- relational data
- machine learning methods
- mass spectrometry data
- database
- support vector machine
- active learning
- data model
- prediction error
- binding peptides
- data mining
- feature selection
- predictive model
- multi relational
- reinforcement learning
- machine learning approaches
- computational biology
- text classification
- amino acids
- relational databases
- supervised learning
- high throughput
- human activities