Strathprints Home | Open Access | Browse | Search | User area | Copyright | Help | Library Home | SUPrimo

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

Morrison, J.L. and Breitling, R. and Higham, D.J. and Gilbert, D.R. (2005) GeneRank: using search engine technology for the analysis of microarray experiments. BMC Bioinformatics, 6 (1). p. 233. ISSN 14712105

[img]
Preview
PDF (strathprints002243.pdf)
Download (592Kb) | Preview

    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.

    Item type: Article
    ID code: 2243
    Keywords: microarray experiments, gene expression, generank, physics, Microbiology
    Subjects: Science > Microbiology
    Department: Faculty of Science > Mathematics and Statistics
    Unknown Department
    Related URLs:
    Depositing user: Strathprints Administrator
    Date Deposited: 06 Dec 2006
    Last modified: 19 Mar 2012 02:01
    URI: http://strathprints.strath.ac.uk/id/eprint/2243

    Actions (login required)

    View Item

    Fulltext Downloads: