Knowledge-based variable selection for learning rules from proteomic data.
Jonathan L. LustgartenShyam VisweswaranRobert P. BowserWilliam R. HoganVanathi GopalakrishnanPublished in: BMC Bioinform. (2009)
Keyphrases
- variable selection
- learning rules
- proteomic data
- high throughput
- input variables
- biologically inspired
- neural network
- high dimensional
- cross validation
- spectral data
- artificial neural networks
- mass spectrometry data
- dimension reduction
- mass spectrometry
- back propagation
- learning scheme
- model selection
- learning algorithm
- metabolic networks
- data sets
- support vector machine
- data mining
- feature selection