Gene encoder: a feature selection technique through unsupervised deep learning-based clustering for large gene expression data.
UzmaFeras N. Al-ObeidatAbdallah TubaishatBabar ShahZahid HalimPublished in: Neural Comput. Appl. (2022)
Keyphrases
- gene expression data
- deep learning
- unsupervised learning
- feature selection
- gene expression
- high dimensionality
- microarray
- gene expression analysis
- gene expression profiles
- microarray data
- gene regulatory networks
- dimensionality reduction
- gene selection
- gene expression data analysis
- gene expression data sets
- cancer classification
- microarray datasets
- text classification
- cluster analysis
- microarray gene expression data
- analysis of gene expression data
- gene networks
- microarray data analysis
- machine learning
- high dimensional data
- weakly supervised
- gene expression patterns
- supervised learning
- data sets
- regulatory networks
- gene expression datasets
- high dimensional
- cancer diagnosis
- semi supervised
- dna microarray
- biclustering algorithms
- model selection
- simultaneous clustering
- feature set
- object recognition
- computer vision
- gene ontology terms
- pairwise
- feature space
- support vector machine
- feature extraction
- gene ontology
- expectation maximization