Prediction of Protein Subcellular Locations by Combining K-Local Hyperplane Distance Nearest Neighbor.
Hong LiuHaodi FengDaming ZhuPublished in: ADMA (2007)
Keyphrases
- hyperplane
- subcellular localization
- nearest neighbor
- data points
- average distance
- distance function
- decision boundary
- protein interaction
- support vector
- input space
- euclidean distance
- training samples
- k nearest neighbor
- maximal margin
- high dimensional data
- knn
- feature space
- support vector machine
- high dimensional
- protein structure prediction
- protein function
- linearly separable
- principal components
- linear classifiers
- incremental learning algorithm
- support vectors
- normal vectors
- nearest point
- contact map
- convex hull
- protein sequences
- svm classifier
- low dimensional
- drug discovery
- kernel function
- dimensionality reduction
- linear separability
- data sets
- learning algorithm
- metric space
- nearest neighbor search
- protein protein interactions
- protein structure
- training set
- neural network