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This paper proposes an effective method for identifying functional modules of the weighted gene co-expression network using a minimum spanning tree (MST) approach coupled with network neighborhood connectivity. The MST-based gene co-expression network was reconstructed to serve as the backbone of gene co-expression network. Highly connected hub genes were identified based on the connectivity of the...
Genome-wide case-control association study of complex disease requires effective and robust measurement of statistical difference of genetic markers, particularly single nucleotide polymorphisms (SNP). This paper presents a development of Odds Ratio Contour Analysis (ORCA) which is a method for identifying disease susceptible SNP from the odds ratio signal in genome-wide association study using a...
Odds ratio plays important roles in identifying and assessing disease susceptible SNPs in the case-control association study. However, the contour of odds ratio has too much variation to identify the disease susceptible DNA region. This paper proposes the odds ratio contour analysis (ORCA), a method for analyzing of odds ratio contour in genome-wide SNP association study. This method smoothes the...
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