NDLI: A comparison: Three analysis methods for identifying differentially expressed genes

Content Provider	IEEE Xplore Digital Library
Author	Tian Yuan Liu Gui-xia Zheng Ming Zhong Yi Zhou Chun-guang
Copyright Year	2010
Description	Author affiliation: College of Computer Science and Technology, Changchun, China (Tian Yuan; Liu Gui-xia; Zheng Ming; Zhong Yi; Zhou Chun-guang)
Abstract	One of the main objectives in the analysis of microarray experiments is the identification of genes that are differentially expressed under two experimental conditions. Many analysis methods for identifying differentially expressed (DE) genes were developed. Here we compared three analysis methods which are the significance analysis of microarrays (SAM), the t-based meta-analysis (TB) and the rank product meta-analysis (RP). We found out strengths and weaknesses of the three analysis methods with respected to three measures, which we referred to as efficiency, stringency, and ability to handle heterogeneity. The TB is more efficient than the SAM and the RP. In addition, the RP is the best analysis method of the three with other two measures. We concluded that meta-analysis is a powerful tool for identifying differentially expressed genes.
File Size	377805
File Format	PDF
ISBN	9781424468928
e-ISBN	9781424468935
DOI	10.1109/ICSPS.2010.5555727
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Laboratories t-based meta-analysis rank product meta-analysis Signal processing differentially expressed gene Biomedical measurements Gene expression Object recognition Bioinformatics SAM
Content Type	Text
Resource Type	Article

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