Feature Genes Selection Using Supervised Locally Linear Embedding and Correlation Coefficient for Microarray Classification.
Jiucheng XuHuiyu MuYun WangFangzhou HuangPublished in: Comput. Math. Methods Medicine (2018)
Keyphrases
- correlation coefficient
- microarray classification
- microarray data
- locally linear embedding
- gene selection
- high dimensional
- dimensionality reduction
- feature selection
- microarray datasets
- neighborhood preserving embedding
- gene expression
- gene expression data
- low dimensional
- microarray
- manifold learning
- high dimensional data
- semi supervised
- data sets
- information gain
- preprocessing step
- principal components
- feature ranking
- dimension reduction
- learning algorithm
- knn
- principal components analysis
- image features
- dimensional data
- high dimensionality
- subspace learning
- multi task
- unsupervised learning
- supervised learning
- data analysis
- pattern recognition
- computer vision
- neural network