• Login
    View Item 
    •   SMARTech Home
    • College of Sciences (CoS)
    • School of Biological Sciences
    • School of Biology Faculty Publications
    • View Item
    •   SMARTech Home
    • College of Sciences (CoS)
    • School of Biological Sciences
    • School of Biology Faculty Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Assessing gene significance from cDNA microarray expression data via mixed models

    Thumbnail
    View/Open
    gibson_MAL_2001_001.pdf (227.1Kb)
    Date
    2001
    Author
    Wolfinger, Russell D.
    Gibson, Greg
    Wolfinger, Elizabeth D.
    Bennett, Lee
    Hamadeh, Hisham
    Ashari, Cynthia
    Paules, Richard S.
    Metadata
    Show full item record
    Abstract
    The determination of a list of differentially expressed genes is a basic objective in many cDNA microarray experiments. We present a statistical approach that allows direct control over the percentage of false positives in such a list and, under certain reasonable assumptions, improves on existing methods with respect to the percentage of false negatives. The method accommodates a wide variety of experimental designs and can simultaneously assess signi cant differences between multiple types of biological samples. Two interconnected mixed linear models are central to the method and provide a exible means to properly account for variability both across and within genes. The mixed model also provides a convenient framework for evaluating the statistical power of any particular experimental design and thus enables a researcher to a priori select an appropriate number of replicates. We also suggest some basic graphics for visualizing lists of signi cant genes. Analyses of published experiments studying human cancer and yeast cells illustrate the results.
    URI
    http://hdl.handle.net/1853/41850
    Collections
    • School of Biology Faculty Publications [227]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology