Integrating multiple microarray data for cancer pathway analysis using bootstrapping K-S test

Xue Wen Chen*, Bing Han, Xinkun Wang, Elias K. Michaelis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Previous applications of microarray technology for cancer research have mostly focused on identifying genes that are differentially expressed between a particular cancer and normal cells. In a biological system, genes perform different molecular functions and regulate various biological processes via interactions with other genes thus forming a variety of complex networks. Therefore, it is critical to understand the relationship (e.g., interactions) between genes across different types of cancer in order to gain insights into the molecular mechanisms of cancer. Here we propose an integrative method based on the bootstrapping Kolmogorov-Smirnov test and a large set of microarray data produced with various types of cancer to discover common molecular changes in cells from normal state to cancerous state. We evaluate our method using three key pathways related to cancer and demonstrate that it is capable of finding meaningful alterations in gene relations.

Original languageEnglish (US)
Article number707580
JournalJournal of Biomedicine and Biotechnology
StatePublished - 2009

ASJC Scopus subject areas

  • Genetics
  • Molecular Medicine
  • Molecular Biology
  • Health, Toxicology and Mutagenesis
  • Biotechnology


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