Metabolomics variable selection and classification in the presence of observations below the detection limit using an extension of ERp.
Mari van ReenenJohan A. WesterhuisCarolus J. ReineckeJ. Hendrik VenterPublished in: BMC Bioinform. (2017)
Keyphrases
- variable selection
- cross validation
- dimension reduction
- model selection
- input variables
- high dimensional
- pattern recognition
- linear models
- classification accuracy
- leave one out cross validation
- gene expression microarray data
- support vector
- support vector machine
- ls svm
- feature selection
- support vector machine svm
- feature vectors
- high dimensionality
- data sets
- logistic regression models
- machine learning
- naive bayes classifier
- decision trees
- high dimensional data
- supervised learning
- image processing
- unsupervised learning
- preprocessing
- computer vision
- text classification
- image classification
- group lasso
- event related potentials
- feature space