High-dimensional genomic feature selection with the ordered stereotype logit model.
Anna Eames SeffernickKrzysztof MrózekDeedra NicoletRichard M. StoneAnn-Katherin EisfeldJohn C. ByrdKellie J. ArcherPublished in: Briefings Bioinform. (2022)
Keyphrases
- logit model
- high dimensional
- feature selection
- high dimensionality
- feature space
- dimensionality reduction
- gene expression data
- dimension reduction
- microarray data
- small sample
- high dimension
- low dimensional
- genomic data
- machine learning
- variable selection
- text categorization
- similarity search
- feature selection algorithms
- high throughput
- mutual information
- support vector
- classification accuracy
- support vector machine
- parameter space
- feature subset
- feature set
- high dimensional data
- text classification
- model selection
- nearest neighbor
- data points
- gene expression
- sequence data
- special case
- multi agent
- genomic sequences