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    A simple Affymetrix ratio-transformation method yields comparable expression level quantifications with cDNA data

    Sarmah, Chintanu K.; Samarasinghe, Sandhya; Kulasiri, Gamalathge D.; Catchpoole, D.
    Abstract
    Gene expression profiling is rapidly evolving into a powerful technique for investigating tumor malignancies. The researchers are overwhelmed with the microarray-based platforms and methods that confer them the freedom to conduct large-scale gene expression profiling measurements. Simultaneously, investigations into cross-platform integration methods have started gaining momentum due to their underlying potential to help comprehend a myriad of broad biological issues in tumor diagnosis, prognosis, and therapy. However, comparing results from different platforms remains to be a challenging task as various inherent technical differences exist between the microarray platforms. In this paper, we explain a simple ratio-transformation method, which can provide some common ground for cDNA and Affymetrix platform towards cross-platform integration. The method is based on the characteristic data attributes of Affymetrix- and cDNA- platform. In the work, we considered seven childhood leukemia patients and their gene expression levels in either platform. With a dataset of 822 differentially expressed genes from both these platforms, we carried out a specific ratio-treatment to Affymetrix data, which subsequently showed an improvement in the relationship with the cDNA data.... [Show full abstract]
    Keywords
    childhood leukaemia; gene expression profiling; microarray; cDNA; Affymetrix
    Date
    2012
    Type
    Journal Article
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    • Centre for Advanced Computational Solutions [52]
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    https://hdl.handle.net/10182/3897
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