Clustering Formal Concepts to Discover Biologically Relevant Knowledge from Gene Expression Data.
Sylvain BlachonRuggero G. PensaJérémy BessonCéline RobardetJean-François BoulicautOlivier GandrillonPublished in: Silico Biol. (2007)
Keyphrases
- gene expression data
- formal concepts
- relevant knowledge
- gene expression analysis
- clustering gene expression data
- microarray
- gene expression
- gene expression data analysis
- high dimensionality
- gene expression profiles
- formal concept analysis
- high dimensional data
- analysis of gene expression data
- microarray data
- simultaneous clustering
- gene regulatory networks
- clustering method
- feature selection
- gene expression profiling
- data sets
- gene selection
- biclustering algorithms
- knowledge base
- conceptual clustering
- clustering algorithm
- k means
- concept lattice
- clustering analysis
- high throughput
- data points
- dna microarray
- unsupervised learning
- high dimensional
- gene ontology terms
- image processing
- categorical data
- closed sets
- cluster ensemble
- binary data
- data mining tasks
- cluster analysis
- data mining
- real world