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Weighted correlation network analysis, also known as weighted gene co-expression network analysis (WGCNA), is a widely used data mining method especially for studying biological networks based on pairwise correlations between variables. While it can be applied to most high-dimensional data sets, it has been most widely used in genomic ...
Biweight midcorrelation has been implemented in the R statistical programming language as the function bicor as part of the WGCNA package [3] Also implemented in the Raku programming language as the function bi_cor_coef as part of the Statistics module.
The concept of gene co-expression networks was first introduced by Butte and Kohane in 1999 as relevance networks. [6] They gathered the measurement data of medical laboratory tests (e.g. hemoglobin level ) for a number of patients and they calculated the Pearson correlation between the results for each pair of tests and the pairs of tests which showed a correlation higher than a certain level ...
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Macy’s is closing more than five dozen store locations across the United States as part of the company's ongoing reorganization strategy.. The retailer confirmed Jan. 9 that it was shuttering 66 ...
In a new court filing, federal prosecutors allege the suspect who took a hostage and got into a shootout with Yellowstone National Park rangers in July ranted that he "refuse[s] to fraternize with ...
DeuxMoi was first to report the ring from the London-based jewelry brand.. The smiling star placed her left hand on her chest as she entered the venue, which displayed the ring — listed in the ...
A weighted network is a network where the ties among nodes have weights assigned to them. A network is a system whose elements are somehow connected. [1] The elements of a system are represented as nodes (also known as actors or vertices) and the connections among interacting elements are known as ties, edges, arcs, or links.