Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering.
Nikhil R. PalKripamoy AguanAnimesh SharmaShun-ichi AmariPublished in: BMC Bioinform. (2007)
Keyphrases
- fuzzy clustering
- gene expression data
- gene expression profiles
- cancer datasets
- neural network
- clustering analysis
- microarray
- gene expression
- cancer classification
- gene selection
- dna microarray
- fuzzy c means
- cancer diagnosis
- microarray data
- subgroup discovery
- gene expression datasets
- gene expression data sets
- tissue samples
- breast cancer
- gene expression data analysis
- gene expression analysis
- gene expression profiling
- membership functions
- gene regulatory networks
- high dimensionality
- pattern recognition
- data sets
- cluster analysis
- clustering algorithm
- artificial neural networks
- gene expression patterns
- feature selection
- colon cancer
- high dimensional data
- genetic algorithm
- regulatory networks
- fuzzy logic
- candidate genes
- gene sets
- high dimensional
- artificial intelligence
- image processing
- similarity measure
- knn
- nearest neighbor
- early detection
- cluster centers
- high throughput