GeneRank: using search engine technology for the analysis of microarray experiments

Julie L Morrison, Rainer Breitling, Desmond J Higham, David R Gilbert

Research output: Contribution to journalArticle

167 Citations (Scopus)

Abstract

Interpretation of simple microarray experiments is usually based on the fold-change of gene expression between a reference and a 'treated' sample where the treatment can be of many types from drug exposure to genetic variation. Interpretation of the results usually combines lists of differentially expressed genes with previous knowledge about their biological function. Here we evaluate a method - based on the PageRank algorithm employed by the popular search engine Google - that tries to automate some of this procedure to generate prioritized gene lists by exploiting biological background information.
LanguageEnglish
Pages233
JournalBMC Bioinformatics
Volume6
Issue number1
DOIs
Publication statusPublished - 21 Sep 2005

Fingerprint

Search Engine
Microarray Analysis
Microarrays
Search engines
Microarray
Genes
Gene
Technology
Genetic Variation
PageRank
Gene expression
Gene Expression
Experiment
Drugs
Fold
Experiments
Evaluate
Pharmaceutical Preparations
Interpretation
Knowledge

Keywords

  • microarray experiments
  • gene expression
  • generank
  • physics

Cite this

Morrison, Julie L ; Breitling, Rainer ; Higham, Desmond J ; Gilbert, David R. / GeneRank : using search engine technology for the analysis of microarray experiments. In: BMC Bioinformatics. 2005 ; Vol. 6, No. 1. pp. 233.
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GeneRank : using search engine technology for the analysis of microarray experiments. / Morrison, Julie L; Breitling, Rainer; Higham, Desmond J; Gilbert, David R.

In: BMC Bioinformatics, Vol. 6, No. 1, 21.09.2005, p. 233.

Research output: Contribution to journalArticle

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