SEQENS: An ensemble method for relevant gene identification in microarray data.
François SignolLaura ArnalJ. Ramon Navarro-CerdanRafael LlobetJoaquim ArlandisJuan Carlos Pérez-CortesPublished in: Comput. Biol. Medicine (2023)
Keyphrases
- microarray data
- ensemble methods
- microarray
- gene expression
- gene selection
- gene expression data
- gene networks
- gene clusters
- dna microarray data
- meta analysis
- cancer classification
- informative genes
- differentially expressed genes
- biologically meaningful
- microarray datasets
- gene expression profiles
- gene expression patterns
- microarray gene expression data
- random forest
- prediction accuracy
- dna microarray
- gene sets
- feature selection
- random forests
- base classifiers
- high throughput
- regulatory networks
- microarray analysis
- benchmark datasets
- machine learning methods
- decision trees
- ensemble learning
- gene ontology
- microarray data analysis
- gene expression analysis
- data sets
- cluster ensemble
- cluster analysis
- gene regulatory networks
- high dimensionality
- cancer diagnosis
- feature vectors
- high dimensional
- computational methods
- feature subset
- learning algorithm