Outcome Prediction for Salivary Gland Cancer Using Multivariate Adaptative Regression Splines (MARS) and Self-Organizing Maps (SOM).
Paloma Lequerica-FernándezIgnacio PeñaFernando Sánchez LasherasFrancisco Javier Iglesias-RodríguezCarlos González-GutiérrezJuan Carlos de VicentePublished in: SOCO-CISIS-ICEUTE (2017)
Keyphrases
- self organizing maps
- outcome prediction
- regression model
- genomic data
- logistic regression models
- breast cancer
- neural network
- competitive learning
- gene expression profiles
- neural gas
- input data
- unsupervised learning
- gene expression datasets
- topology preserving
- model selection
- som neural network
- prostate cancer
- multivariate data
- protein protein interaction networks
- high throughput
- k means
- high dimensional
- pairwise
- training data
- feature extraction
- data mining