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Published in 2019 at "Electronic Journal of Statistics"
DOI: 10.1214/19-ejs1535
Abstract: In this paper we consider the problem of multiple testing when the hypotheses are dependent. In most of the existing literature, either Bayesian or non-Bayesian, the decision rules mainly focus on the validity of the…
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Keywords:
bayesian multiple;
testing procedure;
novel bayesian;
multiple ... See more keywords
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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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Keywords:
hmfgraph;
novel bayesian;
hmfgraph novel;
approach recovering ... See more keywords