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… Continue reading