An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers.
Graham R. BallShahid MianF. HoldingR. O. AlliboneJames LoweS. AliG. LiS. McCardleIan O. EllisColin CreaserRobert C. ReesPublished in: Bioinform. (2002)
Keyphrases
- mass spectrometry
- ovarian cancer
- artificial neural networks
- high throughput
- mass spectrometry data
- cancer detection
- mass spectra
- proteomic data
- spectral data
- drug discovery
- machine learning
- support vector
- time of flight
- machine learning methods
- pattern classification
- decision trees
- tandem mass spectrometry
- microarray
- support vector machine svm
- feature set
- feature extraction
- rule learning
- early detection
- gene selection
- support vector machine
- biomarker discovery
- feature vectors