Chapter 9: Analyses Using Disease Ontologies


Advanced statistical methods used to analyze high-throughput data such as gene-expression assays result in long lists of "significant genes." One way to gain insight into the significance of altered expression levels is to determine whether Gene Ontology (GO) terms associated with a particular biological process, molecular function, or cellular component… (More)
DOI: 10.1371/journal.pcbi.1002827


Cite this paper

@inproceedings{Shah2012Chapter9A, title={Chapter 9: Analyses Using Disease Ontologies}, author={Nigam Haresh Shah and Tyler Cole and Mark A. Musen}, booktitle={PLoS Computational Biology}, year={2012} }