A semiparametric pairwise likelihood estimator for Gaussian copula correlations is introduced for mixed-type multi-omics data, with new extreme-value interpretations for binary variables and validation on breast cancer data.
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Gaussian copula correlation network analysis with application to multi-omics data
A semiparametric pairwise likelihood estimator for Gaussian copula correlations is introduced for mixed-type multi-omics data, with new extreme-value interpretations for binary variables and validation on breast cancer data.