fdrtool: a versatile R package for estimating local and tail area-based false discovery rates

By Korbinian Strimmer. Bioinform., 2008

712 citations recorded by the source corpus.

Subfields: Molecular Biology, Spectroscopy, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9a39e80d9bae8fb7b6b087c32e8357e2b9f101b7

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Citations in the corpus

NetCoMi: network construction and comparison for microbiome data in R (2020, methodology): “adjust() (stats [69]) and, in addition, two methods for multiple testing under dependence having higher power than the common Benjamini-Yekutieli method [70]: (i) fdrtool() for controlling the local false discovery rate [71, 72], and (ii) the adaptive Benjamini-Hochberg method [73] where the proport”
Covariate powered cross‐weighted multiple testing (2017, methodology): “| 737IGNATIADIS and HUBER is a reasonable assumption and often provides a good fit to multiple testing data sets (Genovese et al., 2006; Strimmer, 2008b).”
Exploring nucleo-cytoplasmic large DNA viruses in Tara Oceans microbial metagenomes (2013, methodology): “test’ function and controlled for multiple tests using false discovery rate (q-value) computed by the tail area-based method of the R ‘fdrtool’ package (Strimmer, 2008).”
Human Gut Microbiota from Autism Spectrum Disorder Promote Behavioral Symptoms in Mice (2019, neutral): “Test statistics were calculated for the group comparison and local FDR correction was applied to account for multiple comparisons using the fdrtool package in R (Strimmer, 2008).”
Temporal Coordination of Gene Networks by Zelda in the Early Drosophila Embryo (2011, methodology): “Using the ‘‘fdrtool package’’ in R [50], we set the background threshold as 5% FDR, which was previously shown to be an appropriate cutoff for tiling array data [51].”
Host lifestyle affects human microbiota on daily timescales (2014, methodology): “We estimated false discovery rates separately for a given lag and body site (‘fdrtool’ R package [58]).”
AI-based structure prediction empowers integrative structural analysis of human nuclear pores (2022, methodology): “The calculation of P values was performed by first transforming the cross-correlation scores to z-scores (Fisher’s z-transform) and centering, from which subsequently two-sided P values were computed using standard deviation derived from an empirical null distribution [based on all obtained nonredun”