Article
Generalized correlation measure using count statistics for gene expression data with ordered samples.
Bioinformatics (Oxford, England) - 15 Feb 2018
Wang Y X Rachel, Liu Ke, Theusch Elizabeth, Rotter Jerome I, Medina Marisa W, Waterman Michael S, Huang Haiyan, Stegle Oliver
Abstract excerpt
Motivation: Capturing association patterns in gene expression levels under different conditions or time points is important for inferring gene regulatory interactions. In practice, temporal changes in gene expression may result in complex association patterns that require more sophisticated detection methods than simple correlation measures. For instance, the effect of regulation may lead to time-lagged...
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