SVM-HUSTLE - an iterative semi-supervised machine learning approach for pairwise protein remote homology detection.
Anuj R. ShahChristopher S. OehmenBobbie-Jo M. Webb-RobertsonPublished in: Bioinform. (2008)
Keyphrases
- remote homology detection
- supervised machine learning
- pairwise
- protein sequences
- protein classification
- psi blast
- statistical significance
- manually annotated
- support vector machine
- multi class
- string kernels
- active learning
- supervised learning
- sequence alignment
- semi supervised
- support vector
- similarity measure
- markov random field
- support vector machine svm
- machine learning
- computational biology
- secondary structure
- conditional random fields
- maximum entropy
- svm classifier
- kernel function
- feature vectors