Controlling FDR with multiple different α values.

Averages of 50 different simulated datasets. For all datasets, p = 100 and n = 300.

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Bibliographic Details
Main Author:	Aapo E. Korhonen (22530674) (author)
Other Authors:	Olli Sarala (22530677) (author), Tuomas Hautamäki (22530680) (author), Markku Kuismin (2170918) (author), Mikko J. Sillanpää (8139792) (author)
Published:	2025
Subjects:	Genetics Biotechnology Cancer Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified recovering meaningful networks partial correlation networks false discovery rate explain complex relationships novel bayesian approach dimensional omics datasets biological example analyses estimated precision matrix large datasets hierarchical matrix estimated f biological variables bayesian implementations whose width specific choice recently received r package powerful tools new way maximization algorithm good properties generalized expectation fast implementation extensive simulations edge selection demanding parts condition number community detection art approaches
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Controlling FDR with multiple different <i>α</i> values.