A supervised data-driven approach for microarray spot quality classification.
Manuele BicegoMaria Rosario MartinezVittorio MurinoPublished in: Pattern Anal. Appl. (2005)
Keyphrases
- microarray
- acute leukemia
- gene expression
- gene expression profiles
- cancer classification
- microarray images
- microarray data analysis
- high throughput
- microarray data
- high dimensionality
- colon cancer
- gene expression data
- dna microarray
- gene expression analysis
- feature selection
- microarray datasets
- microarray analysis
- gene expression microarray data
- gene selection
- supervised learning
- dna microarray data
- unsupervised learning
- cancer diagnosis
- gene ontology
- gene expression datasets
- experimental conditions
- ovarian cancer
- clustering analysis
- gene networks
- tissue samples
- machine learning methods
- gene expression profiling
- gene expression data sets
- classification accuracy
- molecular biology
- model selection
- decision trees
- cancer datasets
- machine learning
- support vector machine svm
- feature space
- yeast cell cycle
- biological data
- random forest
- cluster analysis