A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets.
Journal:
BMC bioinformatics
Published Date:
Mar 27, 2018
Abstract
BACKGROUND: Testing predefined gene categories has become a common practice for scientists analyzing high throughput transcriptome data. A systematic way of testing gene categories leads to testing hundreds of null hypotheses that correspond to nodes in a directed acyclic graph. The relationships among gene categories induce logical restrictions among the corresponding null hypotheses. An existing fully Bayesian method is powerful but computationally demanding.