IDEAS home Printed from https://ideas.repec.org/a/bpj/sagmbi/v5y2006i1n4.html
   My bibliography  Save this article

Statistical Selection of Maintenance Genes for Normalization of Gene Expressions

Author

Listed:
  • Huang Yifan

    (H. Lee Moffitt Cancer Center and Research Institute)

  • Hsu Jason C

    (Ohio State University)

  • Peruggia Mario

    (Ohio State University)

  • Scott Abigail A

    (National Council on Crime and Delinquency Children’s Research Center)

Abstract

Maintenance genes can be used for normalization in the comparison of gene expressions. Even though the absolute expression levels of maintenance genes may vary considerably among different tissues or cells, a set of maintenance genes may provide suitable normalization if their expression levels are relatively constant in the specific tissues or cells of interest. A statistical procedure is proposed to select maintenance genes for normalization of gene expression data from tissues or cells of interest. This procedure is based on simultaneous confidence intervals for practical equivalence of relative gene expressions in these tissues or cells. As an illustration, the procedure is applied to the maintenance gene expression data from Vandesompele et al. (2002).

Suggested Citation

  • Huang Yifan & Hsu Jason C & Peruggia Mario & Scott Abigail A, 2006. "Statistical Selection of Maintenance Genes for Normalization of Gene Expressions," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 5(1), pages 1-18, February.
  • Handle: RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:4
    DOI: 10.2202/1544-6115.1122
    as

    Download full text from publisher

    File URL: https://doi.org/10.2202/1544-6115.1122
    Download Restriction: For access to full text, subscription to the journal or payment for the individual article is required.

    File URL: https://libkey.io/10.2202/1544-6115.1122?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bpj:sagmbi:v:5:y:2006:i:1:n:4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.