Machine learning for classification and quantification of monoclonal antibody preparations for cancer therapy.
Laetitia LeCamille MariniAlexandre GramfortDavid NguyenMehdi ChertiSana TfailiAli TfayliArlette Baillet-GuffroyPatrice PrognonPierre ChaminadeEric CaudronBalázs KéglPublished in: CoRR (2017)
Keyphrases
- machine learning
- machine learning methods
- decision trees
- pattern recognition
- support vector machine
- machine learning algorithms
- feature selection
- supervised machine learning
- text classification
- classification accuracy
- machine learning approaches
- supervised classification
- supervised learning
- classification scheme
- image classification
- automatic classification
- feature extraction
- feature vectors
- feature space
- unsupervised learning
- gene expression profiles
- cancer diagnosis
- learning tasks
- learning algorithm
- class labels
- information extraction
- classification models
- support vector machine svm
- semi supervised learning
- natural language processing
- multi class
- training set
- support vector
- cancer datasets
- outcome prediction