Feature selection and classification of noisy proteomics mass spectrometry data based on one-bit perturbed compressed sensing.
Wenbo XuYan TianSiye WangYupeng CuiPier Luigi MartelliPublished in: Bioinform. (2020)
Keyphrases
- compressed sensing
- mass spectrometry data
- feature selection and classification
- mass spectrometry
- high throughput
- image reconstruction
- biomarker discovery
- feature selection
- pattern classification
- random projections
- high dimensionality
- sparse representation
- cancer classification
- microarray
- natural images
- original data
- selected features
- fourier domain
- text classification
- neural network
- image classification
- pattern recognition
- feature extraction
- data mining