Using an Ensemble of Support Vector Machine Classifiers to Predict Protein Supersecondary Structural Motifs.
Dongsheng ZouZhongshi HeYuan YanPublished in: J. Comput. (2011)
Keyphrases
- structural motifs
- support vector machine classifiers
- protein sequences
- protein folding
- support vector machine
- motif finding
- computational biology
- protein structure
- human genome
- protein function
- computational methods
- amino acids
- neural network
- ensemble methods
- biological sequences
- sequence analysis
- protein structure prediction
- training set
- feature selection
- data sets
- amino acid sequences
- protein families
- base classifiers
- protein protein interactions
- secondary structure
- machine learning methods
- multi objective
- bayes classifiers