Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning.
Shan HeHuanhuan ChenXiaoli LiXin YaoPublished in: ICANN (2) (2009)
Keyphrases
- cancer detection
- mass spectrometry data
- cancer classification
- gene selection
- pattern classification
- microarray
- high throughput
- random forest
- microarray data
- gene expression data
- prostate cancer
- mass spectrometry
- feature selection
- gene expression profiles
- error function
- ensemble learning
- data sets
- gene expression
- computer vision
- learning algorithm