WDNE: an integrative graphical model for inferring differential networks from multi-platform gene expression data with missing values.
Le Ou-YangDehan CaiXiao-Fei ZhangHong YanPublished in: Briefings Bioinform. (2021)
Keyphrases
- graphical models
- gene expression data
- missing values
- high dimensional data
- data matrix
- gene regulatory networks
- microarray
- belief propagation
- gene expression
- structure learning
- missing data
- exponential family
- probabilistic inference
- probabilistic model
- approximate inference
- microarray data
- incomplete data
- high dimensionality
- bayesian networks
- data sets
- markov networks
- feature selection
- gene expression profiles
- network model
- nearest neighbor
- high dimensional
- complex networks
- low dimensional
- conditional independence
- biological networks
- data points
- high throughput
- information extraction
- low rank
- dimensionality reduction
- decision trees