Estimating mutual information using B-spline functions - an improved similarity measure for analysing gene expression data.
Carsten O. DaubRalf SteuerJoachim SelbigSebastian KloskaPublished in: BMC Bioinform. (2004)
Keyphrases
- b spline
- gene expression data
- mutual information
- similarity measure
- feature selection
- basis functions
- gene expression
- microarray
- microarray data
- control points
- information theoretic
- deformation field
- piecewise polynomial
- image registration
- gene regulatory networks
- gene expression analysis
- gene expression data analysis
- microarray gene expression data
- gene expression datasets
- high dimensional data
- gene selection
- affine transformation
- data sets
- analysis of gene expression data
- high dimensionality
- tensor product
- least squares
- high dimensional
- cubic spline
- medical image registration
- cancer classification
- gene expression profiling
- linear combination
- regulatory networks
- cubic b spline
- dna microarray
- gene expression profiles
- displacement field
- gene expression data sets
- microarray datasets
- deformable registration
- decision trees
- biological data
- semantic similarity
- feature vectors
- high throughput
- clustering method