A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets

A hidden Markov tree model for testing multiple hypotheses corresponding to Gene Ontology gene sets

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 relation...

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Bibliographic Details
Main Authors: Kun Liang, Chuanlong Du, Hankun You, Dan Nettleton
Format: Article
Language:English
Published: BMC 2018-03-01
Series:BMC Bioinformatics
Subjects:
Differential expression
Directed acyclic graph
Expectation maximization
Expression quantitative trait loci
False discovery rate
Gene set enrichment analysis
Online Access:http://link.springer.com/article/10.1186/s12859-018-2106-5

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http://link.springer.com/article/10.1186/s12859-018-2106-5

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