Joint estimation of causal effects from observational and intervention gene expression data.
Andrea RauFlorence JaffrézicGrégory NuelPublished in: BMC Syst. Biol. (2013)
Keyphrases
- joint estimation
- gene expression data
- causal effects
- observational data
- experimental data
- structural equation models
- gene expression
- microarray
- directed acyclic graph
- causal relations
- causal discovery
- causal models
- data sets
- gene regulatory networks
- microarray data
- latent variables
- causal relationships
- gene expression analysis
- linear models
- sample size
- high dimensionality
- gene expression profiles
- high dimensional data
- gene selection
- bayesian networks
- microarray gene expression data
- analysis of gene expression data
- feature selection
- cancer classification
- gene expression data analysis
- high dimensional
- regulatory networks
- gene expression profiling
- gene expression datasets
- topic models