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Identifying Differentially Expressed Genes based on probe level data for GeneChip arrays
by Zhongxue Chen, Monnie McGee, Qingzhong Liu, Y. Megan Kong, Xudong Huang, Jack Y. Yang, Richard H. Scheuermann
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 3, No. 3, 2010

 

Abstract: We propose a new method based on probe-level data (PLIDEG) to filter differentially expressed genes from non-differentially expressed genes. We compare this new method with others based on expression values by using two spikein data sets. With the extra information provided by probe level data, PLIDEG not only controls type I error, but also increases the power of detecting DEGs, simultaneously. Therefore, PLIDEG can efficiently separate DEGs and non-DEGs without requiring the estimation of the number of non-DEGs. Based on theoretical analysis and results from application to real microarray data, we confirm these good features of this new method.

 

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