Deterministic Classifiers Accuracy Optimization for Cancer Microarray Data.
Vânia RodriguesSérgio A. D. DeusdadoPublished in: PACBB (2019)
Keyphrases
- microarray data
- gene selection
- microarray
- gene sets
- feature selection
- cancer classification
- biologically significant
- gene expression
- gene expression profiles
- gene expression data
- dna microarray
- microarray technology
- cancer datasets
- meta analysis
- fold cross validation
- gene expression data sets
- microarray data analysis
- ovarian cancer
- biologically relevant
- biological data
- cluster analysis
- data sets
- differentially expressed genes
- cancer diagnosis
- feature ranking
- high dimensional
- roc curve
- informative genes
- microarray gene expression data
- gene networks
- small number of samples
- colon cancer
- analysis of gene expression
- microarray datasets
- classification accuracy
- support vector
- svm classifier
- training data
- gene clusters
- lung cancer
- biological networks
- naive bayes
- unsupervised learning
- knn
- training set
- machine learning