Sample classification from protein mass spectrometry, by 'peak probability contrasts'.
Robert TibshiraniTrevor HastieBalasubramanian NarasimhanScott G. SoltysGongyi ShiAlbert C. KoongQuynh-Thu LePublished in: Bioinform. (2004)
Keyphrases
- mass spectrometry
- mass spectrometry data
- mass spectra
- ovarian cancer
- high throughput
- pattern classification
- proteomic data
- tandem mass spectrometry
- machine learning
- decision trees
- rule learning
- cancer classification
- spectral data
- data mining
- ms ms
- decision rules
- biological data
- data mining techniques
- input image
- knowledge discovery
- real time