EnrichDO: a global weighted model for Disease Ontology enrichment analysis.

Journal: GigaScience
PMID: 40139908

Abstract

BACKGROUND: Disease Ontology (DO) has been widely studied in biomedical research and clinical practice to describe the roles of genes. DO enrichment analysis is an effective means to discover associations between genes and diseases. Compared to hundreds of Gene Ontology (GO)-based enrichment analysis methods, however, DO-based methods are relatively scarce, and most current DO-based approaches are term-for-term and thus are unable to solve over-enrichment problems caused by the "true-path" rule.

Authors

  • Haixiu Yang
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Hongyu Fu
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Meiyi Zhang
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150081, China.
  • Yangyang Liu
    Department of Cardiology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
  • Yongqun Oliver He
    University of Michigan Medical School, Ann Arbor, MI, USA.
  • Chao Wang
    College of Agriculture, Shanxi Agricultural University, Taigu, Shanxi, China.
  • Liang Cheng
    College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150001, China. liangcheng@hrbmu.edu.cn.

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