Nonlinear Data Mining of Microarray Data Using Michaelis Menten Functions.
Dov J. StekelTim W. OvertonJon L. HobmanCharles W. PennJeff A. ColeChrystala ConstantinidouPublished in: BMC Bioinform. (2005)
Keyphrases
- microarray data
- data mining
- cluster analysis
- building classification models
- microarray
- gene selection
- gene expression
- gene expression data
- high dimensional
- microarray classification
- meta analysis
- feature selection
- data sets
- knowledge discovery
- biological data
- microarray gene expression data
- gene networks
- cancer classification
- machine learning
- small number of samples
- dna microarray data
- microarray data analysis
- gene expression profiles
- differentially expressed genes
- data analysis
- association rules
- data mining techniques
- microarray datasets
- real world
- biologically relevant
- gene expression analysis
- dna microarray
- pattern mining
- text mining
- biologically meaningful
- gene expression patterns
- cancer diagnosis
- experimental conditions
- clustering analysis
- molecular biology
- analysis of gene expression
- nearest neighbor