TNorm: An Unsupervised Batch Effects Correction Method for Gene Expression Data Classification.
Praisan PadungweangWorrawat EngchuanJonathan H. ChanPublished in: ICONIP (1) (2015)
Keyphrases
- gene expression data
- high dimensionality
- cancer classification
- gene expression profiles
- gene expression
- microarray
- dna microarray data
- gene expression analysis
- cancer diagnosis
- colon cancer
- dna microarray
- feature selection
- classification accuracy
- microarray datasets
- microarray data
- gene expression datasets
- supervised learning
- gene expression data analysis
- tumor classification
- data sets
- microarray gene expression data
- machine learning
- unsupervised learning
- pattern recognition
- gene selection
- gene regulatory networks
- gene expression profiling
- cancer datasets
- feature extraction
- gene expression data sets
- gene expression microarray data
- analysis of gene expression data
- tissue samples
- high dimensional
- feature vectors
- high dimensional data
- gene expression patterns
- decision trees
- machine learning methods
- feature space
- microarray data analysis
- feature set
- gene networks
- regulatory networks