Feature Selection on High Throughput SELDI-TOF Mass-Spectrometry Data for Identifying Biomarker Candidates in Ovarian and Prostate Cancer.
Claudia PlantMelanie OslBernhard TilgChristian BaumgartnerPublished in: ICDM Workshops (2006)
Keyphrases
- cancer detection
- mass spectrometry data
- high throughput
- prostate cancer
- mass spectrometry
- cancer classification
- gene selection
- feature selection
- microarray
- microarray data
- proteomic data
- gene expression data
- gene expression
- computer aided
- systems biology
- mr images
- biological data
- genomic data
- microarray datasets
- random forest
- cancer diagnosis
- feature set
- classification accuracy
- protein protein interactions
- feature ranking
- gene ontology
- machine learning
- high dimensionality
- data acquisition
- time of flight
- support vector machine
- high resolution
- disease progression
- data sets
- medical image analysis
- range data
- experimental conditions
- range images
- knn
- high dimensional
- feature extraction