Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation

Chia Ju Lee, Zan Huang, Hongmei Jiang, John D Crispino, Simon Lin

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

An ultimate goal of cancer research is to identify the underlying molecular mechanisms of oncogenesis and then to translate these discoveries into developing valid biomarkers that are useful for cancer patient care or new drug development.

Original languageEnglish (US)
Title of host publicationBiological Data Mining
PublisherCRC Press
Pages615-625
Number of pages11
ISBN (Electronic)9781420086850
ISBN (Print)9781420086843
StatePublished - Jan 1 2009

ASJC Scopus subject areas

  • Computer Science(all)
  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)

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  • Cite this

    Lee, C. J., Huang, Z., Jiang, H., Crispino, J. D., & Lin, S. (2009). Cancer biomarker prioritization: Assessing the in vivo impact of in vitro models by in silico mining of microarray database, literature, and gene annotation. In Biological Data Mining (pp. 615-625). CRC Press.