一种基于稀疏主成分的基因表达数据特征提取方法 (Feature Extraction Method Based on Sparse Principal Components for Gene Expression Data).
Ningmin ShenJing LiPeiyun ZhouYi ZhuangPublished in: 计算机科学 (2015)
Keyphrases
- principal components
- gene expression data
- microarray
- gene expression
- feature set
- high dimensional
- dimensionality reduction
- principal component analysis
- feature selection
- microarray data
- gene expression analysis
- high dimensionality
- gene expression data analysis
- gene expression profiling
- data sets
- gene regulatory networks
- linear features
- analysis of gene expression data
- data matrix
- feature vectors
- gene expression datasets
- high dimensional data
- clustering gene expression data
- gene expression profiles
- gene networks
- gene selection
- microarray gene expression data
- principal component regression
- regulatory networks
- dna microarray
- neural network
- weight vector
- gene expression data sets
- biological data
- high throughput
- gene expression patterns
- feature space
- training data
- database