A comparison of probe-level and probeset models for small-sample gene expression data.
John R. StevensJason L. BellKenneth I. AstonKenneth L. WhitePublished in: BMC Bioinform. (2010)
Keyphrases
- gene expression data
- small sample
- gene expression
- microarray
- feature selection
- microarray data
- high dimensionality
- gene expression analysis
- gene regulatory networks
- sample size
- neural network
- learning algorithm
- data sets
- least squares
- cross validation
- parameter estimation
- model selection
- high throughput
- probabilistic model
- active learning
- gene selection
- machine learning
- gene expression profiles