Advanced machine learning techniques for microarray spot quality classification.
Loris NanniAlessandra LuminiSheryl BrahnamPublished in: Neural Comput. Appl. (2010)
Keyphrases
- microarray
- acute leukemia
- microarray images
- gene expression
- cancer classification
- gene expression profiles
- high dimensionality
- microarray data analysis
- high throughput
- gene expression analysis
- gene expression data
- microarray data
- colon cancer
- microarray analysis
- dna microarray
- gene expression microarray data
- microarray datasets
- clustering analysis
- decision trees
- tissue samples
- machine learning methods
- gene ontology
- molecular biology
- gene selection
- gene expression data sets
- gene networks
- machine learning algorithms
- classification accuracy
- dna microarray data
- gene expression datasets
- cancer diagnosis
- machine learning
- support vector machine svm
- feature selection
- gene expression profiling
- regulatory networks
- biological processes
- experimental conditions
- classification models
- differentially expressed genes
- feature subset
- support vector
- ovarian cancer
- feature set
- analysis of gene expression
- microarray expression data
- feature extraction