Comparative meta-analysis between human and mouse cancer microarray data reveals critical pathways

Pankaj Chopra, Jaewoo Kang, Seung Mo Hong

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Identification of deregulated biomolecular pathways in cancer may be more important than identifi cation of individual genes through differential expression. We have analysed data from 87 microarray datasets, spanning 25 different types of cancer, and have identifi ed several hundred pathways that are statistically signifi cant (p < 0.01) and deregulated in cancer. We also conducted a meta-analysis of 18 mouse cancer datasets and found that a statistically signifi cant number of ontology terms are common between human and mouse cancers and known for their role in carcinogenesis. These point to critical pathways that are disrupted in both human and mouse cancers.

Original languageEnglish
Pages (from-to)349-365
Number of pages17
JournalInternational Journal of Data Mining and Bioinformatics
Volume8
Issue number3
DOIs
Publication statusPublished - 2013

Keywords

  • Cancer
  • Gene expression
  • Hotspots
  • Meta analysis
  • Microarray
  • Pathways

ASJC Scopus subject areas

  • Information Systems
  • Biochemistry, Genetics and Molecular Biology(all)
  • Library and Information Sciences

Fingerprint Dive into the research topics of 'Comparative meta-analysis between human and mouse cancer microarray data reveals critical pathways'. Together they form a unique fingerprint.

  • Cite this