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Published in 2025 at "PLOS Computational Biology"
DOI: 10.1371/journal.pcbi.1013614
Abstract: Gaussian graphical models (GGM) are powerful tools to examine partial correlation structures in high-dimensional omics datasets. Partial correlation networks can explain complex relationships between genes or other biological variables. Bayesian implementations of GGMs have recently…
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