T Cell Receptor Protein Sequences and Sparse Coding: A Novel Approach to Cancer Classification.
Zahra TayebiSarwan AliPrakash ChourasiaTaslim MuradMurray PattersonPublished in: ICONIP (10) (2023)
Keyphrases
- sparse coding
- protein sequences
- cancer classification
- microarray
- gene selection
- random forest
- natural images
- cancer diagnosis
- gene expression data
- microarray data
- sparse representation
- computational biology
- image classification
- linear combination
- gene expression profiles
- unsupervised learning
- feature selection
- feature space
- experimental conditions
- high dimensional
- cell nuclei
- gene expression
- high throughput
- higher order
- high dimensionality
- pattern recognition
- computational methods
- co occurrence
- image features
- drug discovery
- multiscale
- gene sets
- feature extraction
- decision trees
- data sets