Individualized Predictions of Survival Time Distributions from Gene Expression Data Using a Bayesian MCMC Approach.
Lars KaderaliPublished in: BIRD (2007)
Keyphrases
- gene expression data
- metropolis hastings algorithm
- gene regulatory networks
- posterior distribution
- probability distribution
- gene expression
- microarray
- markov chain monte carlo
- posterior probability
- gene networks
- regulatory networks
- data sets
- microarray data
- parameter estimation
- gene expression data analysis
- markov chain
- feature selection
- high dimensionality
- gene selection
- gene expression analysis
- dna microarray
- analysis of gene expression data
- gene expression datasets
- microarray gene expression data
- dirichlet process
- high dimensional data
- gene expression profiling
- gene expression data sets
- bayesian inference
- high dimensional
- cancer diagnosis
- gene expression profiles
- random variables
- cancer classification
- database
- generative model
- bayesian networks
- neural network
- bayesian framework
- maximum likelihood
- text mining
- clustering gene expression data