BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and ReliefF feature selection.
Krishna Kumar KandaswamyGanesan PugalenthiMehrnaz Khodam HazratiKai-Uwe KaliesThomas MartinetzPublished in: BMC Bioinform. (2011)
Keyphrases
- feature selection
- support vector machine
- information gain
- subcellular localization
- support vector
- feature subset
- stock market prediction
- small sample
- feature ranking
- prediction accuracy
- multi class
- feature space
- machine learning
- drug design
- svm classifier
- text categorization
- protein sequences
- amino acids
- contact maps
- parameter optimization
- prediction model
- ensemble classifier
- wet lab
- protein interaction
- support vector machine svm
- feature selection algorithms
- k nearest neighbor
- protein secondary structure
- feature extraction
- protein classification
- recursive feature elimination
- contact map
- knn
- high dimensionality
- text classification
- protein structure prediction
- protein chains
- kernel methods
- predicting protein
- classification accuracy
- mutual information
- nearest neighbour
- protein protein interactions
- model selection
- attribute selection
- gene expression data
- radial basis function
- selected features
- data sets
- computational methods
- protein structure
- remote homology detection
- support vector regression