Subspace-Based Dynamic Selection: A Proof of Concept Using Protein Microarray Data.
Alexandre Maciel-GuerraGrazziela P. FigueredoEliane MartiMarcos J. C. AlcocerJamie TwycrossPublished in: IJCNN (2020)
Keyphrases
- microarray data
- saccharomyces cerevisiae
- high dimensional
- microarray
- gene expression
- regulatory networks
- gene selection
- biological data
- gene expression data
- low dimensional
- protein structure
- protein protein interactions
- data sets
- principal component analysis
- meta analysis
- high dimensional data
- protein function
- protein sequences
- amino acids
- dimensionality reduction
- protein interaction
- feature selection
- cluster analysis
- gene expression profiles
- high throughput
- microarray gene expression data
- microarray data analysis
- high dimensionality
- gene networks
- differentially expressed genes
- small number of samples
- dna microarray data
- gene clusters
- feature space
- cancer classification
- biologically meaningful
- association rules
- protein interaction networks
- protein protein interaction networks
- face recognition
- input data
- gene ontology
- molecular biology