Unlocking the potential of publicly available microarray data using inSilicoDb and inSilicoMerging R/Bioconductor packages.
Jonatan TaminauStijn MeganckCosmin LazarDavid SteenhoffAlain ColettaColin MolterRobin DuqueVirginie de SchaetzenDavid Y. Weiss SolísHugues BersiniAnn NowéPublished in: BMC Bioinform. (2012)
Keyphrases
- microarray data
- microarray
- gene expression
- feature selection
- gene selection
- gene expression data
- meta analysis
- data sets
- cluster analysis
- microarray data analysis
- differentially expressed genes
- microarray gene expression data
- cancer classification
- microarray datasets
- biologically meaningful
- microarray classification
- gene sets
- biological data
- gene networks
- high dimensional
- dna microarray data
- biologically relevant
- gene expression microarray data
- gene expression profiles
- biologically significant
- pattern recognition
- small number of samples
- object recognition
- informative genes
- gene clusters
- gene expression patterns
- high throughput
- knn
- gene expression analysis
- training data
- model selection