Estimating Pairwise Statistical Significance of Protein Local Alignments Using a Clustering-Classification Approach Based on Amino Acid Composition.
Ankit AgrawalArka P. GhoshXiaoqiu HuangPublished in: ISBRA (2008)
Keyphrases
- statistical significance
- pairwise
- amino acid composition
- permutation tests
- statistically significant
- sequence alignment
- fold cross validation
- statistical tests
- psi blast
- protein sequences
- binding sites
- classification accuracy
- support vector machine
- loss function
- immune genetic algorithm
- roc curve
- feature vectors
- training set
- machine learning
- support vector
- decision trees
- learning algorithm
- cross validation
- benchmark datasets
- protein structure
- random forest
- support vector machine svm
- supervised learning
- multi class
- feature space
- genetic algorithm