WebJul 13, 2024 · Weighted gene co-expression network analysis (WGCNA) is used to detect clusters with highly correlated genes. Measurements of correlation most typically rely on linear relationshi WebOne particular measure, that we call the Hellinger correlation, appears as a natural choice within that class due to both its theoretical and intuitive appeal. A simple and efficient …
Gene expression data analysis using Hellinger correlation …
WebHcor Value of the empirical Hellinger correlation. p.value The p-value associated to the null hypothesis that the Hellinger correlation is equal to 0 (computed using a Monte-Carlo … WebJan 10, 2024 · In this paper, we present a general approach to transforming a given dependence measure into a new one which exactly characterizes independence as well as functional dependence. Our approach uses the concept of monotone rearrangements as introduced by Hardy and Littlewood and is applicable to a broad class of measures. tcx baja mid vs forma adventure
The Hellinger Correlation DeepAI
WebJan 26, 2024 · The test statistic is derived from a U-statistic estimator of a natural population measure of dependence, and we prove that this is the unique minimum variance unbiased estimator of this population quantity. WebThe Hellinger Correlation Description Empirical value of the Hellinger correlation between two continuous random variables X and Y. Usage HellCor(x, y, Kmax = 20L, Lmax = 20L, K = 0L, L = 0L, alpha = 6.0, pval.comp = FALSE, conf.level = NULL, B1 = 200, B2 = 200, C.version = TRUE) Arguments Details WebJul 13, 2024 · Gene expression data analysis using Hellinger correlation in weighted gene co-expression networks (WGCNA) Gene expression data analysis using Hellinger … edna\\u0027s cakeland