Normalization Using Weighted Negative Second Order Exponential Error Functions (NeONORM) Provides Robustness Against Asymmetries in Comparative Transcriptome Profiles and Avoids False Calls.
Sebastian NothGuillaume BrysbaertArndt BeneckePublished in: Genom. Proteom. Bioinform. (2006)
Keyphrases
- exponential decay
- error rate
- linear complexity
- higher order
- error bounds
- computational models
- comparative analysis
- positive and negative
- high order
- worst case
- image registration
- database
- preprocessing
- multi valued
- call center
- order statistics
- objective function
- high robustness
- hessian matrix
- normalization method
- minimum error
- decision trees