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Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model

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Listed:
  • Joo Yongsung

    (University of Florida)

  • Casella George

    (University of Florida)

  • Booth James

    (Cornell University)

  • Lee Keunbaik

    (University of Florida)

  • Enkemann Steven

    (H. Lee Moffitt Cancer Center and Research Institution)

Abstract

This paper discusses characteristics of dye biases in microarray data that the conventional normalization methods do not handle, and proposes a new normalization method involving a mixture of splines model. We also develop a test for between-group comparisons of each gene that is designed to be used with our proposed method.

Suggested Citation

  • Joo Yongsung & Casella George & Booth James & Lee Keunbaik & Enkemann Steven, 2007. "Normalization of Dye Bias in Microarray Data Using the Mixture of Splines Model," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 6(1), pages 1-22, January.
    • Handle: RePEc:bpj:sagmbi:v:6:y:2007:i:1:n:2
    DOI: 10.2202/1544-6115.1228
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