A Hybrid Heuristic Dimensionality Reduction Methods for Classifying Malaria Vector Gene Expression Data.
Olaolu ArowoloMarion Olubunmi AdebiyiAyodele Ariyo AdebiyiJulius Olatunji OkesolaPublished in: IEEE Access (2020)
Keyphrases
- gene expression data
- dimensionality reduction methods
- gene expression profiles
- dimensionality reduction
- data sets
- gene expression
- high dimensionality
- microarray
- high dimensional data
- discriminant analysis
- microarray data
- feature selection
- high dimensional
- knn
- principal component analysis
- microarray gene expression data
- gene expression data analysis
- gene expression datasets
- gene regulatory networks
- gene expression analysis
- analysis of gene expression data
- random projections
- dna microarray
- gene selection
- preprocessing step
- principal components analysis
- gene expression data sets
- gene expression profiling
- clustering gene expression data
- cancer classification
- distance measure
- machine learning
- linear discriminant analysis
- information retrieval
- feature extraction
- regulatory networks
- microarray datasets
- feature set
- low dimensional
- unsupervised learning
- training set
- feature space
- preprocessing
- pattern recognition
- training data
- high throughput
- dimension reduction
- data mining
- database