Principal Component Analysis for Prediction of O-Linked Glycosylation Sites in Protein by Multi-Layered Neural Networks.
Chu-Zheng WangXian-Hua HanMasahiro ItoIkuko NishikawaYen-Wei ChenPublished in: IIH-MSP (2009)
Keyphrases
- multi layered
- neural learning
- neural network
- principal component analysis
- experimentally determined
- subcellular localization
- contact map
- prediction accuracy
- protein structure prediction
- protein homology
- protein secondary structure
- prediction model
- neural network ensemble
- dimension reduction
- website
- protein structure
- pattern recognition
- contact maps
- remote homology detection
- protein function prediction
- artificial neural networks to predict
- multi layer perceptron
- face recognition
- fuzzy logic
- back propagation
- independent component analysis
- feature extraction
- protein interaction
- drug design
- neural networks and support vector machines
- covariance matrix
- genetic algorithm
- protein tertiary structure
- feature space
- physicochemical properties
- protein classification
- neural network model
- predicting protein
- protein sequences
- amino acids
- self organizing maps
- protein secondary structure prediction
- principal components
- radial basis function network
- short term prediction
- prediction error
- protein protein interactions