Cancer disease multinomial classification using transfer learning and SVM on the genes' sequences.
Ines SlimeneImen MessaoudiAfef Elloumi OueslatiZied LachiriPublished in: EAI Endorsed Trans. Pervasive Health Technol. (2023)
Keyphrases
- transfer learning
- text classification
- gene selection
- support vector machine svm
- dna microarray
- ovarian cancer
- cancer classification
- support vector
- machine learning
- gene expression profiles
- support vector machine
- feature selection
- text categorization
- labeled data
- knowledge transfer
- learning tasks
- cancer diagnosis
- feature vectors
- microarray
- svm classifier
- cross domain learning
- candidate genes
- cross domain
- classification accuracy
- knn
- training set
- gene expression
- machine learning algorithms
- gene expression data
- multi task
- naive bayes
- class labels
- feature extraction
- supervised learning
- training data
- structure learning
- feature space
- gene sets
- active learning
- microarray datasets
- learning algorithm
- decision trees
- reinforcement learning
- breast cancer
- decision boundary
- domain adaptation
- semi supervised learning
- probabilistic model
- transfer knowledge
- collaborative filtering
- microarray data