The HELICoiD Project: Parallel SVM for Brain Cancer Classification.
Emanuele TortiCamilla CividiniAlessandro GattiGiovanni DaneseFrancesco LeporatiHimar FabeloSamuel OrtegaGustavo Marrero CallicóPublished in: DSD (2017)
Keyphrases
- cancer classification
- gene selection
- analysis of gene expression
- feature selection
- microarray data
- cancer diagnosis
- microarray
- support vector machine svm
- support vector
- gene expression data
- random forest
- gene expression profiling
- gene expression profiles
- human brain
- support vector machine
- gene expression
- feature vectors
- machine learning
- multi class
- high dimensional
- fold cross validation
- kernel function