New statistical method improves reproducibility of omics research

On 27 January, an article was published in the scientific journal ‘Genome Biology’ describing a novel Bayesian method to detect and correct for bias and inflation in epigenome- and transcriptome-wide association studies. The method has the crucial characteristic that it is largely independent of the fraction of true associations in the data. It outperforms existing methods by taking advantage of prior knowledge of the distribution and the composition of test statistics. The method was developed within the framework of BBMRI-NL 2.0, which aims to develop a research infrastructure that can help understand the pathway from genes to disease. Read more.

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