Papers on normalization, variable selection, classification or clustering of microarray data.
David M. RockeTrey IdekerOlga G. TroyanskayaJohn QuackenbushJoaquín DopazoPublished in: Bioinform. (2009)
Keyphrases
- variable selection
- microarray data
- microarray data analysis
- gene function prediction
- gene expression microarray data
- feature selection
- gene expression profiles
- high dimensional
- cluster analysis
- dimension reduction
- microarray
- cross validation
- high dimensionality
- cancer classification
- gene selection
- small number of samples
- model selection
- microarray datasets
- gene expression
- unsupervised learning
- gene expression analysis
- dna microarray data
- high dimensional data
- microarray classification
- k means
- data sets
- clustering method
- gene expression data
- classification accuracy
- clustering algorithm
- machine learning
- multi label classification
- cancer diagnosis
- learning algorithm
- support vector
- feature vectors
- neural network
- pattern recognition
- data points
- text categorization
- expectation maximization
- dimensionality reduction
- support vector machine