Stability of gene contributions and identification of outliers in multivariate analysis of microarray data.
Florent BatyDaniel JaegerFrank PreiswerkMartin M. SchumacherMartin H. BrutschePublished in: BMC Bioinform. (2008)
Keyphrases
- microarray data
- microarray
- gene expression
- gene selection
- gene expression data
- gene clusters
- relevant genes
- gene networks
- biologically meaningful
- differentially expressed genes
- meta analysis
- informative genes
- gene expression patterns
- microarray datasets
- microarray gene expression data
- dna microarray
- saccharomyces cerevisiae
- dna microarray data
- gene sets
- gene expression profiles
- biologically significant
- microarray technology
- cancer classification
- high throughput
- feature selection
- microarray analysis
- data sets
- biological data
- gene ontology
- microarray data analysis
- high dimensional
- regulatory networks
- gene expression analysis
- gene expression data sets
- experimental conditions
- cluster analysis
- small number of samples
- cancer diagnosis
- selected genes
- analysis of gene expression
- biologically relevant
- mass spectrometry
- biological processes
- transcription factors
- molecular biology
- high dimensionality
- data points
- machine learning