Symbolic Data Analysis to Defy Low Signal-to-Noise Ratio in Microarray Data for Breast Cancer Prognosis.
Lyamine HedjaziMarie-Véronique Le LannTatiana KempowskyFlorence DalencJoseph Aguilar-MartinGilles FavrePublished in: J. Comput. Biol. (2013)
Keyphrases
- breast cancer
- microarray data
- low signal to noise ratio
- microarray
- gene expression
- random noise
- logistic regression
- feature selection
- data sets
- gene selection
- early detection
- survival analysis
- gene expression data
- biological data
- cluster analysis
- high dimensional
- breast cancer patients
- gene expression profiles
- gene sets
- high throughput
- gene expression analysis
- cancer classification
- outcome prediction
- microarray datasets
- databases