Maria Anna Mamica

• Kanduri, Chakravarthi; Mamica, Maria Anna; Olstad, Emilie Willoch; Zucknick, Manuela; Jessica, Li, Jingyi & Sandve, Geir Kjetil Ferkingstad (2025). Beware of counter-intuitive levels of false discoveries in datasets with strong intra-correlations. Genome Biology. ISSN 1465-6906. 26. doi: 10.1186/s13059-025-03734-z. Full text in Research Archive Show summary

  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 high numbers of false positives, potentially misleading researchers. We call the attention of researchers to use suited multiple testing strategies and approaches like synthetic null data (negative control) to identify and minimize caveats related to false discoveries, as in the cases where false findings do occur, they may be numerous.

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