Bi-level gene selection of cancer by combining clustering and sparse learning.
Junnan ChenBo WenPublished in: Comput. Biol. Medicine (2024)
Keyphrases
- gene selection
- bi level
- gene expression profiles
- sparse learning
- microarray data
- cancer classification
- microarray
- cancer diagnosis
- gene expression data
- dna microarray
- clustering algorithm
- gray scale
- clustering method
- gene expression
- feature selection
- cluster analysis
- ovarian cancer
- support vector machine svm
- high dimensionality
- genomic data
- self organizing maps
- k means
- elastic net
- unsupervised learning
- microarray datasets
- machine learning
- information theoretic
- multi task
- data sets
- sparse representation
- image classification
- active learning
- high dimensional
- neural network