Identifying Differentially Expressed Genes based on probe level data for GeneChip arrays. (12th January 2011)

• Record Type: Journal Article
• Authors: Chen, Zhongxue; McGee, Monnie; Liu, Qingzhong; Kong, Y. Megan; Huang, Xudong; Yang, Jack; Scheuermann, Richard
• Is Part Of: International journal of computational biology and drug design. Volume 3:Number 3(2010)
• Page Start: 237
• Page End: 257
• Publication Date: 2011-01-12
• Subjects: microarray data -- GnenChip arrays -- FDR -- false discovery rate -- probe level data -- preprocessing method -- DEGs -- differentially expressed genes -- SAM -- gene expression -- gene selection; Computational biology -- Periodicals; Drugs -- Design -- Periodicals; 570.285
• Languages: English
• ISSNs: 1756-0756

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.