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Can I read Covariance Thresholding to Detect Differentially Co-expressed Genes from Microarray Gene Expression Data on EtoBox?
Covariance Thresholding to Detect Differentially Co-expressed Genes from Microarray Gene Expression Data by Oh, Mingyu; Kim, Kipoong; Sun, Hokeun is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Covariance Thresholding to Detect Differentially Co-expressed Genes from Microarray Gene Expression Data about?
Gene set analysis aims to identify differentially expressed or co-expressed genes within a biological pathway between two experimental conditions, so that it can eventually reveal biological processes and pathways involved in disease development. In the last few decades, various statistical and computational methods have been proposed to improve statistical power of gene set analysis. In recent years, much attention has been paid to differentially co-expressed genes since they can be potentially disease-related genes without significant difference in average expression levels between two conditions. In this paper, we propose a new statistical method to identify differentially co-expressed genes from microarray gene expression data. The proposed method first estimates co-expression levels of paired genes using covariance regularization by thresholding, and then significance of difference in covariance estimation between two conditions is evaluated. We demonstrated that the proposed method is more powerful than the existing main-stream methods to detect co-expressed genes through extensive simulation studies. Also, we applied it to various microarray gene expression datasets related
Who reads Covariance Thresholding to Detect Differentially Co-expressed Genes from Microarray Gene Expression Data?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Oh, Mingyu; Kim, Kipoong; Sun, Hokeun
- Publisher
- World Scientific Publishing Company; World Scientific ; World Scientific Publishing Co; World Scientific Pub Co Pte Lt (ISSN 0219-7200)
- Published
- 2020
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)