An Empirical Comparison of Dimensionality Reduction Methods for Classifying Gene and Protein Expression Datasets.
George LeeCarlos RodriguezAnant MadabhushiPublished in: ISBRA (2007)
Keyphrases
- dimensionality reduction methods
- dimensionality reduction
- gene expression levels
- discriminant analysis
- principal component analysis
- microarray
- data sets
- knn
- gene expression
- principal components analysis
- preprocessing step
- cis regulatory
- gene sets
- gene expression data
- protein protein interaction networks
- regulatory networks
- random projections
- distance measure
- microarray data
- sequence alignment
- gene ontology
- discriminant projection
- feature set
- high throughput
- protein sequences
- data mining
- genomic sequences
- protein structure
- high dimensional
- neural network
- high dimensionality
- feature extraction
- microarray datasets
- protein interaction
- binding sites
- high dimensional data
- document clustering
- linear discriminant analysis
- feature vectors
- preprocessing
- data analysis
- amino acids
- face recognition
- raw data
- information retrieval
- signaling pathways
- machine learning