IDEAS home Printed from https://ideas.repec.org/a/eee/csdana/v53y2009i5p1577-1589.html
   My bibliography  Save this article

A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images

Author

Listed:
  • Chan, Shih-Huang
  • Chang, Wan-Chi

Abstract

In microarray processing, the appearance of artifacts, donuts, and irregularly shaped spots is a problem. In current microarray analysis, most approaches stress the segmentation of pixel intensities rather than emphasizing ratio estimators. To avoid segmenting spot target areas and to minimize sensitivity to aberrant pixels, we propose a robust ratio estimator of gene expression via inverse-variance weighting. Moreover, a metric is proposed to evaluate the spot quality. Both the simulation and numerical examples explored reveal that the proposed algorithm is superior to existing approaches with respect to mean square error. The acceptance quality measure recommended confirms the validity of the proposed ratio estimator.

Suggested Citation

  • Chan, Shih-Huang & Chang, Wan-Chi, 2009. "A robust ratio estimator of gene expression via inverse-variance weighting for cDNA microarray images," Computational Statistics & Data Analysis, Elsevier, vol. 53(5), pages 1577-1589, March.
    • Handle: RePEc:eee:csdana:v:53:y:2009:i:5:p:1577-1589
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167-9473(08)00299-5
    Download Restriction: Full text for ScienceDirect subscribers only.
    ---><---

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

    References listed on IDEAS

    as
    1. Ekstrøm Claus T & Bak Søren & Rudemo Mats, 2005. "Pixel-level Signal Modelling with Spatial Correlation for Two-Colour Microarrays," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 4(1), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Arteaga-Salas Jose Manuel & Harrison Andrew P & Upton Graham J. G., 2008. "Reducing Spatial Flaws in Oligonucleotide Arrays by Using Neighborhood Information," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 7(1), pages 1-19, October.

    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:eee:csdana:v:53:y:2009:i:5:p:1577-1589. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/csda .

    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.