Sparse representation via ℓ1-minimization for underdetermined systems in classification of tumors with gene expression data.
Reinaldo Sanchez-AriasMiguel ArgáezPablo GuillénPublished in: EMBC (2011)
Keyphrases
- sparse representation
- gene expression data
- dictionary learning
- image classification
- tissue samples
- gene expression
- microarray
- high dimensional data
- gene expression profiles
- high dimensionality
- cancer classification
- cancer diagnosis
- microarray data
- gene expression analysis
- sparse coding
- feature selection
- gene expression datasets
- compressive sensing
- colon cancer
- data sets
- face recognition
- feature space
- gene selection
- dna microarray
- signal processing
- dimensionality reduction
- high dimensional
- norm minimization
- nearest neighbor
- image features
- support vector machine
- gene regulatory networks
- linear combination
- training set
- text classification
- pattern recognition
- machine learning
- decision trees
- blind source separation
- microarray datasets
- random projections
- high throughput
- model selection