IDEAS home Printed from https://ideas.repec.org/a/taf/jnlasa/v107y2012i499p935-945.html
   My bibliography  Save this article

Searching for Alternative Splicing With a Joint Model on Probe Measurability and Expression Intensities

Author

Listed:
  • Jianhua Hu
  • Xuming He

Abstract

The exon tiling array offers a high throughput technology to search for aberrant splicing in biomedical research, but few methods of analysis for splicing detection have been tested both statistically and empirically. Noisy measurements on nonresponsive probe selection regions and outlying intensities at some of the samples tend to distort model-based assessments. We propose a robust analysis of variance approach that incorporates an informative model on probe measurability and uses median regression rank scores for better reliability in alternative splicing detection. We study the validity and effectiveness of our proposed approach in contrast with some of the existing methods through an empirical investigation of a brain cancer experiment, where a set of biologically validated genes for splicing and nonsplicing are available. Our study demonstrates favorable performance of the proposed ranking method, but shows that analysis of statistical significance cannot be trusted from any conventional use of p -values. We warn of any routine attempt to interpret p -values and their derivatives in model-based detection of alternative splicing.

Suggested Citation

  • Jianhua Hu & Xuming He, 2012. "Searching for Alternative Splicing With a Joint Model on Probe Measurability and Expression Intensities," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 935-945, September.
  • Handle: RePEc:taf:jnlasa:v:107:y:2012:i:499:p:935-945
    DOI: 10.1080/01621459.2012.682801
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01621459.2012.682801
    Download Restriction: Access to full text is restricted to subscribers.

    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:taf:jnlasa:v:107:y:2012:i:499:p:935-945. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/UASA20 .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.