On using physico-chemical properties of amino acids in string kernels for protein classification via support vector machines.
Limin LiKiyoko F. Aoki-KinoshitaWai-Ki ChingHao JiangPublished in: J. Syst. Sci. Complex. (2015)
Keyphrases
- physico chemical
- protein classification
- protein sequences
- amino acids
- support vector
- computational biology
- string kernels
- protein structure prediction
- learning machines
- secondary structure
- protein structure
- amino acid sequences
- protein function
- sequence alignment
- biological sequences
- protein families
- coarse grained
- kernel methods
- remote homology detection
- support vector machine
- sequence analysis
- svm classifier
- protein folding
- tertiary structure
- grammatical inference
- svm classification
- molecular biology
- binary classification