Improving pattern classification of DNA microarray data by using PCA and logistic regression.
Ricardo Ocampo-VegaGildardo Sánchez-AnteMarco A. de LunaRoberto VegaLuis E. Falcón-MoralesHumberto SossaPublished in: Intell. Data Anal. (2016)
Keyphrases
- logistic regression
- pattern classification
- dna microarray data
- feature extraction
- principal component analysis
- decision trees
- chi square
- support vector
- pattern recognition
- naive bayes
- gene expression data
- breast cancer
- face recognition
- nearest neighbor rule
- dimensionality reduction
- cancer diagnosis
- loss function
- gene selection
- fold cross validation
- microarray data
- neural network
- feature selection
- microarray
- support vector machine svm
- knn
- feature space
- computer vision
- learning algorithm
- data sets