Hybrid Framework Using Multiple-Filters and an Embedded Approach for an Efficient Selection and Classification of Microarray Data.
Edmundo Bonilla HuertaAlberto Luis Hernández-MontielRoberto Morales-CaporalMarco A. Arjona LópezPublished in: IEEE ACM Trans. Comput. Biol. Bioinform. (2016)
Keyphrases
- microarray data
- feature selection
- microarray data analysis
- gene expression profiles
- classification accuracy
- building classification models
- gene expression
- microarray
- gene selection
- data sets
- dna microarray
- meta analysis
- microarray datasets
- dna microarray data
- high dimensional
- feature space
- feature extraction
- machine learning
- machine learning methods
- microarray analysis
- gene expression data
- feature vectors
- ovarian cancer
- gene expression microarray data
- cancer classification
- biological data
- high dimensionality
- cluster analysis
- support vector machine svm
- probabilistic model
- object recognition
- support vector