Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology

@article{Xu2009ImprovingDO,
  title={Improving detection of differentially expressed gene sets by applying cluster enrichment analysis to Gene Ontology},
  author={Tao Xu and Jianlei Gu and Yan Zhou and LinFang Du},
  journal={BMC Bioinformatics},
  year={2009},
  volume={10},
  pages={240 - 240}
}
Gene set analysis based on Gene Ontology (GO) can be a promising method for the analysis of differential expression patterns. However, current studies that focus on individual GO terms have limited analytical power, because the complex structure of GO introduces strong dependencies among the terms, and some genes that are annotated to a GO term cannot be found by statistically significant enrichment. We proposed a method for enriching clustered GO terms based on semantic similarity, namely… CONTINUE READING

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