Weighted dimensionality reduction and robust Gaussian mixture model based cancer patient subtyping from gene expression data.
Omar RafiqueAjaz Hussain MirPublished in: J. Biomed. Informatics (2020)
Keyphrases
- gene expression data
- dimensionality reduction
- high dimensionality
- gene selection
- microarray
- high dimensional data
- gene expression profiles
- dna microarray
- cancer diagnosis
- gene expression
- cancer classification
- gene expression data analysis
- high dimensional
- gene expression datasets
- gene expression data sets
- gene expression profiling
- biologically significant
- tissue samples
- cancer datasets
- microarray data
- colon cancer
- feature selection
- tumor classification
- gene regulatory networks
- data sets
- feature extraction
- low dimensional
- analysis of gene expression data
- feature space
- microarray gene expression data
- linear discriminant analysis
- gene networks
- clustering gene expression data
- gene expression patterns
- data points
- principal component analysis
- molecular biology
- microarray datasets
- gene expression analysis
- regulatory networks
- pattern recognition
- genomic data
- network model
- image processing
- machine learning
- analysis of gene expression
- gene expression microarray data
- neural network