Gene-Pair Representation and Incorporation of GO-based Semantic Similarity into Classification of Gene Expression Data.
Torsten SchönAlexey TsymbalMartin HuberPublished in: RSCTC (2010)
Keyphrases
- gene expression data
- semantic similarity
- microarray
- gene expression
- cancer classification
- dna microarray data
- gene expression profiles
- gene expression analysis
- high dimensionality
- dna microarray
- microarray datasets
- gene expression datasets
- gene ontology
- microarray data
- colon cancer
- feature selection
- cancer diagnosis
- gene selection
- informative genes
- gene networks
- data sets
- gene regulatory networks
- analysis of gene expression data
- gene expression data sets
- high throughput
- wordnet
- microarray gene expression data
- tissue samples
- similarity measure
- co occurrence
- gene expression patterns
- regulatory networks
- high dimensional
- high dimensional data
- pattern recognition
- machine learning
- feature vectors
- feature space
- molecular biology
- low level
- training set
- image classification
- decision trees
- information extraction
- dimensionality reduction
- databases
- experimental conditions