A consensus multi-view multi-objective gene selection approach for improved sample classification.
Sudipta AcharyaLaizhong CuiYi PanPublished in: BMC Bioinform. (2020)
Keyphrases
- multi view
- gene selection
- multi objective
- cancer classification
- single view
- multiple views
- cancer diagnosis
- co training
- dna microarray data
- microarray data
- ovarian cancer
- tumor classification
- microarray
- gene expression profiles
- support vector machine svm
- d objects
- semi supervised
- three dimensional
- gene expression data
- depth map
- microarray datasets
- dna microarray
- feature selection
- multi view clustering
- classification accuracy
- decision trees
- feature extraction
- multi view learning
- machine learning methods
- support vector machine
- feature vectors
- machine learning
- support vector
- pattern recognition
- supervised learning
- training set
- feature space
- data sets
- semi supervised learning
- data analysis
- pairwise
- high dimensionality
- text classification
- gene expression
- k nearest neighbor
- unsupervised learning
- class labels
- machine learning algorithms