Integrated analysis of microarray data and gene function information

Yan Cui, Mi Zhou, Wing Hung Wong

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Microarray data should be interpreted in the context of existing biological knowledge. Here we present integrated analysis of microarray data and gene function classification data using homogeneity analysis. Homogeneity analysis is a graphical multivariate statistical method for analyzing categorical data. It converts categorical data into graphical display. By simultaneously quantifying the microarry-derived gene groups and gene function categories, it captures the complex relations between biological information derived from microarray data and the existing knowledge about the gene function. Thus, homogeneity analysis provides a mathematical framework for integrating the analysis of microarray data and the existing biological knowledge.

Original languageEnglish (US)
Pages (from-to)106-117
Number of pages12
JournalOMICS A Journal of Integrative Biology
Volume8
Issue number2
DOIs
StatePublished - Aug 9 2004

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Microarray Analysis
Microarrays
Genes
Statistical methods
Display devices

All Science Journal Classification (ASJC) codes

  • Biotechnology
  • Biochemistry
  • Molecular Medicine
  • Molecular Biology
  • Genetics

Cite this

Integrated analysis of microarray data and gene function information. / Cui, Yan; Zhou, Mi; Wong, Wing Hung.

In: OMICS A Journal of Integrative Biology, Vol. 8, No. 2, 09.08.2004, p. 106-117.

Research output: Contribution to journalArticle

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