Sparse Feature Selection for Classification and Prediction of Metastasis in Endometrial Cancer: Extended Abstract.
Mehmet Eren AhsenTodd P. BorenNitin K. SinghBurook MisganawJayanthi S. LeaDavid S. MillerMichael A. WhiteMathukumalli VidyasagarPublished in: BCB (2016)
Keyphrases
- extended abstract
- feature selection
- classification accuracy
- text classification
- breast cancer
- prediction accuracy
- outcome prediction
- classification models
- support vector
- feature space
- high dimensional
- feature extraction
- support vector machine
- cancer classification
- neural networks and support vector machines
- feature selection algorithms
- high dimensionality
- machine learning
- image classification
- feature set
- method for feature selection
- feature vectors
- high dimension
- models built
- supervised learning
- gene expression data
- cancer diagnosis
- small sample
- discriminative features
- gene selection
- irrelevant features
- automatic relevance determination
- feature subset
- bladder cancer
- feature selection and classification
- gene expression profiles
- ensemble classifier
- text categorization
- model selection
- multi class
- knn
- decision trees
- random forest
- data sets
- lymph nodes
- dna microarray
- support vector machine svm
- redundant features
- training data
- wrapper feature selection