In this paper, we first define a novel weighted correlation kernel (called wc-kernel) to measure the correlation of brain regions, by which weighting factors are learned in a data-driven manner to characterize the contributions of different time points, thus conveying the richer interaction ...
Weighted correlation in Python. Pandas based implementation of weighted Pearson and Spearman correlations. - matthijsz/weightedcorr
We develop a statistical theory to characterize correlations in weighted networks. We define the appropriate metrics quantifying correlations and show that strictly uncorrelated weighted networks do not exist due to the presence of structural constraints. We also introduce an algorithm for generating maxim...
Module significance is determined as the average absolute gene significance measure for all genes in a given module. When gene significance is defined as the correlation of gene expression profiles with an external trait y, this measure tends to be highly related to the correlation between the modu...
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook weighted average (redirected fromWeighted mean) Financial Acronyms Encyclopedia Wikipedia weighted average n (Statistics) an average calculated by taking into account not only the frequencies of the values of a variab...
The simulation for experiments of both of the two scenarios was repeated 20 times, and the accuracy was measured by the average Pearson correlation between the estimated breeding value and the corresponding true breeding value for 20 replicates. In real-data analysis, five replicates of five-fold ...
Correlation networks are increasingly being used in bioinformatics applications. For example, weighted gene co-expression network analysis is a systems biology method for describing the correlation patterns among genes across microarray samples. Weighted correlation network analysis (WGCNA) can be used for ...
R-squared value ranges from 0 to 1 and represents the strength of the correlations of the local model of the feature. The condition number is a measure of the stability of the estimated coefficients. Condition numbers above approximately 1000 indicate instability in the model; this i...
The Local R-Squared value ranges from 0 to 1 and represents the strength of the correlations of the local model of the feature. The Condition Number is a measure of the stability of the estimated coefficients. Condition numbers above approximately 1000 indicate instability in the model;...
Background:Correlationnetworksareincreasinglybeingusedinbioinformaticsapplications.For example,weightedgeneco-expressionnetworkanalysisisasystemsbiologymethodfordescribing thecorrelationpatternsamonggenesacrossmicroarraysamples.Weightedcorrelationnetwork analysis(WGCNA)canbeusedforfindingclusters(modules)ofhighlycorrelatedgenes,for...