@article{(Open Science Index):https://publications.waset.org/pdf/7482, title = {A Simple Affymetrix Ratio-transformation Method Yields Comparable Expression Level Quantifications with cDNA Data}, author = {Chintanu K. Sarmah and Sandhya Samarasinghe and Don Kulasiri and Daniel Catchpoole}, country = {}, institution = {}, 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.}, journal = {International Journal of Biomedical and Biological Engineering}, volume = {4}, number = {1}, year = {2010}, pages = {6 - 11}, ee = {https://publications.waset.org/pdf/7482}, url = {https://publications.waset.org/vol/37}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 37, 2010}, }