A mixture model approach to sample size estimation in two-sample comparative microarray experiments.
Tommy S. JørstadHerman MidelfartAtle M. BonesPublished in: BMC Bioinform. (2008)
Keyphrases
- sample size
- mixture model
- microarray
- model selection
- density estimation
- gene expression
- high throughput
- parameter estimation
- gene expression data
- microarray data
- em algorithm
- generative model
- random sampling
- probabilistic model
- progressive sampling
- small sample size
- high dimensionality
- expectation maximization
- unsupervised learning
- maximum likelihood
- upper bound
- covariance matrix
- statistical tests
- language model
- machine learning
- decision trees
- bayesian networks
- biological data
- feature selection
- worst case
- variable selection
- pairwise
- transcription factors
- low dimensional
- data sets