Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations

Abstract The false discovery rate (FDR) controlling method by Benjamini and Hochberg (BH) is a popular choice in the omics fields. Here, we demonstrate that in datasets with a large degree of dependencies between features, FDR correction methods like BH can sometimes counter-intuitively report very...

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Bibliografiska uppgifter

Huvudupphov:	Chakravarthi Kanduri, Maria Mamica, Emilie Willoch Olstad, Manuela Zucknick, Jingyi Jessica Li, Geir Kjetil Sandve
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	BMC 2025-08-01
Serie:	Genome Biology
Ämnen:	False discovery rate (FDR) Benjamini-Hochberg (BH) Multiple testing adjustment High-dimensional omics data
Länkar:	https://doi.org/10.1186/s13059-025-03734-z
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