A Semi-supervised Learning Approach for Pan-Cancer Somatic Genomic Variant Classification.
Giovanna NicoraSimone MariniIvan LimongelliEttore RizzoStefano MontoliFrancesca Floriana TricomiRiccardo BellazziPublished in: AIME (2019)
Keyphrases
- pattern recognition
- classification scheme
- classification accuracy
- support vector machine svm
- decision trees
- machine learning
- colon cancer
- gene expression profiles
- text classification
- pattern classification
- breast cancer
- ovarian cancer
- cancer datasets
- classification process
- classification systems
- feature selection
- high throughput
- benchmark datasets
- model selection
- image classification
- microarray
- class labels
- automatic classification
- medical images
- support vector machine
- early detection
- training set
- cancer diagnosis
- preprocessing
- support vector
- outcome prediction
- feature extraction