: predicting m6A regulation of gene expression in multiple-groups context by a Bayesian hierarchical mixture model.
Teng ZhangShao-Wu ZhangJian FengBei ZhangPublished in: Briefings Bioinform. (2022)
Keyphrases
- gene expression
- mixture model
- microarray
- gene expression data
- em algorithm
- maximum likelihood
- microarray data
- gene regulation
- probabilistic model
- model selection
- generative model
- unsupervised learning
- gene expression patterns
- expectation maximization
- mixture modeling
- language model
- binding sites
- regulatory networks
- experimental conditions
- bayesian networks
- decision trees
- data sets