Using the antibody-antigen binding interface to train image-based deep neural networks for antibody-epitope classification.
Daniel R. RipollSidhartha ChaudhuryAnders WallqvistPublished in: PLoS Comput. Biol. (2021)
Keyphrases
- immune response
- neural network
- pattern recognition
- immune cells
- artificial immune system
- immune memory
- classification algorithm
- image classification
- classification accuracy
- machine learning
- support vector machine svm
- support vector
- learning vector quantization
- decision trees
- machine learning methods
- text classification
- machine learning algorithms
- user interface
- feature selection
- rule extraction
- feature extraction
- automatic classification
- pattern classification
- user friendly
- training set
- class labels
- artificial neural networks
- neural networks and support vector machines
- fuzzy systems
- artificial immune
- fuzzy decision trees
- classification scheme
- decision rules
- feature vectors
- support vector machine