Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing.
Thi-Oanh TranNguyen-Quoc-Khanh LePublished in: Comput. Biol. Medicine (2024)
Keyphrases
- svm classifier
- feature vectors
- support vector machine svm
- classification method
- extracted features
- classification accuracy
- train a support vector machine
- svm classification
- natural language processing
- feature space
- support vector machine
- support vector
- extracting features
- feature set
- feature extraction
- machine learning
- feature selection
- support vector machine classifiers
- textural features
- spam classification
- classification performances
- input features
- training set
- selected features
- class labels
- feature ranking
- single feature
- histogram intersection kernel
- classification algorithm
- decision trees
- simulated annealing
- high dimensionality
- image classification
- artificial intelligence
- information extraction
- feature reduction
- feature selection algorithms
- feature subset
- multi class classification
- support vectors
- classification models
- kernel function
- multiple kernel learning
- multi class
- fold cross validation
- cancer diagnosis
- decision forest
- knn
- natural language