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Rejection-associated Mitochondrial Impairment After Heart Transplantation
2020
Transplantation Direct
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1 SDC, Methods WGCNA algorithm WGCNA approximates a network adjacency matrix by first computing the biweight midcorrelation matrix. WGCNA next alters the adjacency matrix by raising each element to a common exponent, loosely chosen as the smallest number that sufficiently maximizes a scale-free fit. The motivation for this lies with the assumption that real biological networks are approximately scale-free networks. A soft-threshold parameter of 4 was selected for this analysis. Finally, a Topological Overlap Matrix (TOM) is computed,
doi:10.1097/txd.0000000000001065
fatcat:rmu365wo3fhdjo4n2oiwtlodea