Inferring extrinsic noise from single-cell gene expression data using approximate Bayesian computation.
Oleg LenivePaul D. W. KirkMichael P. H. StumpfPublished in: BMC Syst. Biol. (2016)
Keyphrases
- gene expression data
- microarray
- gene expression
- microarray data
- gene regulatory networks
- data sets
- high dimensionality
- gene expression data analysis
- feature selection
- microarray gene expression data
- analysis of gene expression data
- gene expression profiling
- cancer classification
- gene expression analysis
- gene selection
- cancer diagnosis
- tissue samples
- yeast cell cycle
- gene expression profiles
- regulatory networks
- dna microarray
- gene expression datasets
- database
- clustering gene expression data
- gene networks
- noise reduction
- neural network
- machine learning
- gene expression patterns
- gene expression data sets
- bayesian networks
- biological information
- image processing
- decision trees
- data analysis
- gene regulation
- high throughput
- experimental conditions