Pathways to the analysis of microarray data

R. Keira Curtis (Corresponding Author), Matej Orešič, Antonio Vidal-Puig

Research output: Contribution to journalArticleScientificpeer-review

226 Citations (Scopus)

Abstract

The development of microarray technology allows the simultaneous measurement of the expression of many thousands of genes. The information gained offers an unprecedented opportunity to fully characterize biological processes. However, this challenge will only be successful if new tools for the efficient integration and interpretation of large datasets are available. One of these tools, pathway analysis, involves looking for consistent but subtle changes in gene expression by incorporating either pathway or functional annotations. We review several methods of pathway analysis and compare the performance of three, the binomial distribution, z scores, and gene set enrichment analysis, on two microarray datasets. Pathway analysis is a promising tool to identify the mechanisms that underlie diseases, adaptive physiological compensatory responses and new avenues for investigation.
Original languageEnglish
Pages (from-to)429 - 435
Number of pages7
JournalTrends in Biotechnology
Volume23
Issue number8
DOIs
Publication statusPublished - 2005
MoE publication typeA1 Journal article-refereed

Keywords

  • cDNA microarrays
  • microarray
  • oligonucleotide microarrays
  • pathway analysis

Fingerprint Dive into the research topics of 'Pathways to the analysis of microarray data'. Together they form a unique fingerprint.

  • Cite this

    Curtis, R. K., Orešič, M., & Vidal-Puig, A. (2005). Pathways to the analysis of microarray data. Trends in Biotechnology, 23(8), 429 - 435. https://doi.org/10.1016/j.tibtech.2005.05.011