Comparison of machine learning classifiers for protein secondary structure prediction.
Zafer AydinOguz KaynarYasin GormezYunus Emre IsikPublished in: SIU (2018)
Keyphrases
- protein secondary structure prediction
- machine learning
- protein secondary structure
- decision trees
- machine learning methods
- machine learning algorithms
- tertiary structure
- machine learning approaches
- supervised classification
- test set
- confusion matrices
- naive bayes
- training data
- feature selection
- pattern recognition
- support vector
- svm classifier
- support vector machine
- linear classifiers
- feature set
- training samples
- natural language processing
- inductive learning
- classification accuracy
- computational biology
- learning algorithm
- data mining