Genomic processing for cancer classification and prediction - Abroad review of the recent advances in model-based genomoric and proteomic signal processing for cancer detection.
Peng QiuZ. Jane WangK. J. Ray LiuPublished in: IEEE Signal Process. Mag. (2007)
Keyphrases
- recent advances
- cancer detection
- cancer classification
- gene selection
- signal processing
- microarray
- mass spectrometry data
- high throughput
- microarray data
- random forest
- gene expression data
- cancer diagnosis
- gene expression
- gene expression profiles
- prediction accuracy
- feature selection
- image processing
- biological data
- systems biology
- experimental conditions
- genome wide
- pattern recognition
- computer vision
- text categorization
- neural network
- support vector machine svm
- prostate cancer
- benchmark datasets
- decision trees
- mass spectrometry