Ovarian cancer identification based on dimensionality reduction for high-throughput mass spectrometry data.
J. S. YuS. OngarelloR. FiedlerX. W. ChenGianna ToffoloClaudio CobelliZlatko TrajanoskiPublished in: Bioinform. (2005)
Keyphrases
- mass spectrometry
- mass spectrometry data
- high throughput
- dimensionality reduction
- mass spectra
- microarray
- genome wide
- proteomic data
- biological data
- systems biology
- high dimensionality
- high dimensional
- high dimensional data
- feature extraction
- gene expression
- low dimensional
- gene expression data
- data acquisition
- protein protein interactions
- principal component analysis
- pattern recognition
- feature selection
- reverse engineering
- drug discovery
- face recognition
- machine learning