Controlling the false discovery rate in behavior genetics research.

By Yoav Benjamini, Dan Drai, G. Elmer, N. Kafkafi, I. Golani. Behavioural Brain Research, 2001

3,838 citations recorded by the source corpus.

Subfields: Genetics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/7b3d88b7653927aad1034782de2a653ca1123d43

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Genetics

In Statistics and Probability

Citations in the corpus

MicroRNA expression profiling of thyroid tumors: biological significance and diagnostic utility. (2008, methodology): “For class comparisons to identify differentially expressed miRNAs, a t test was first performed for each miRNA for two class comparisons,the and Benjamini-Hochberg procedure (27) was applied to control the false discovery rate at 5% (i.”
The More the Merrier? A Large Cladistic Analysis of Mysticetes, and Comments on the Transition from Teeth to Baleen (2011, methodology): “…groups of taxa were analyzed using a Multivariate Analysis of Variance carried out in PAST v. 1.91 (Hammer et al. 2001), followed by Hotelling’s pairwise comparisons corrected to adjust for α-inflation caused by multiple testing using the false discovery rate procedure (Benjamini et al. 2001).”
Parent Involvement, Cultural Capital, and the Achievement Gap Among Elementary School Children (2006, methodology): “The false discovery rate criterion was used to adjust alpha levels for the multiple interaction tests (Benjamini, Drai, Elmer, Kafkafi, & Golani, 2001).”
Mechanisms underlying microbial-mediated changes in social behavior in mouse models of Autism Spectrum Disorder (2018, positive): “All p values were adjusted for multiple comparisons with the FDR algorithm (Benjamini et al., 2001).”
Where have all the beetles gone? Long‐term study reveals carabid species decline in a nature reserve in Northern Germany (2019, methodology): “Resulting correlation probabilities were corrected for repeated testing using the False Discovery Rate (Benjamini et al., 2001).”
Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring (2016, positive): “All p values were adjusted for multiple comparisons with the FDR algorithm (Benjamini et al., 2001).”
The RAVEN Toolbox and Its Use for Generating a Genome-scale Metabolic Model for Penicillium chrysogenum (2013, neutral): “correction following [58].”
Subclass Mapping: Identifying Common Subtypes in Independent Disease Data Sets (2007, methodology): “Alternatively, other methods for gene selection and ranking such as neighborhood analysis [17], Significance Analysis of Microarrays [18], and the false discovery rate (FDR)-based approaches [19] can easily be used.”
Judicious Use of Multiple Hypothesis Tests (2005, background): “Nonetheless, researchers often suspect that these procedures are too conservative, making it difficult to detect valid differences (Saville 1990; Benjamini et al. 2001).”