Integrative machine learning approach for multi-class SCOP protein fold classification.
Aik Choon TanDavid R. GilbertYves DevillePublished in: German Conference on Bioinformatics (2003)
Keyphrases
- protein classification
- multi class
- protein sequences
- machine learning
- remote homology detection
- support vector machine
- string kernels
- computational biology
- multiclass classification
- kernel methods
- multi class classification
- multiple classes
- feature selection
- binary and multi class
- binary classifiers
- pairwise
- cost sensitive
- protein fold recognition
- multi class classifier
- multi class boosting
- multi class svms
- protein structure
- sequence alignment
- amino acids
- machine learning methods
- psi blast
- binary classification problems
- binary classification
- multi class classifiers
- multiclass problems
- multi class problems
- active learning
- support vector
- multi class svm
- decision trees
- single class
- amino acid sequences
- grammatical inference
- multi label classification
- supervised learning
- spam filtering
- error correcting output codes
- cost sensitive learning
- object detection
- semi supervised learning
- base classifiers
- training data
- learning tasks