Supervised Selective Kernel Fusion for Membrane Protein Prediction.
Alexander TatarchukValentina SulimovaIvan Yu. TorshinVadim MottlDavid WindridgePublished in: PRIB (2014)
Keyphrases
- subcellular localization
- contact map
- protein secondary structure
- drug design
- protein structure prediction
- prediction accuracy
- protein tertiary structure
- protein classification
- contact maps
- kernel function
- data fusion
- protein structure
- amino acid sequences
- feature space
- protein sequences
- predicting protein
- learning algorithm
- protein secondary structure prediction
- remote homology detection
- protein interaction
- prediction model
- kernel methods
- information fusion
- least squares support vector machine
- supervised learning
- amino acids
- machine learning
- feature selection
- experimentally determined
- unsupervised learning
- component analysis
- protein function prediction
- multi sensor
- physicochemical properties
- multiple instance learning
- support vector
- mass spectrometry
- protein homology