Clustering longitudinal profiles using P-splines and mixed effects models applied to time-course gene expression data.
N. CoffeyJohn HindeE. HolianPublished in: Comput. Stat. Data Anal. (2014)
Keyphrases
- gene expression data
- mixed effects
- microarray
- gene expression
- random effects
- gene expression analysis
- gene expression profiles
- gene regulatory networks
- clustering gene expression data
- gene expression data analysis
- high dimensionality
- data sets
- high dimensional data
- gene expression profiling
- yeast cell cycle
- microarray data
- analysis of gene expression data
- microarray data analysis
- cancer classification
- k means
- regulatory networks
- gene selection
- probabilistic model
- biclustering algorithms
- high dimensional
- microarray gene expression data
- clustering algorithm
- model selection
- synthetic datasets