IHW

The Independent Hypothesis Weighting (IHW) software tool enhances the effectiveness of large-scale multiple testing, particularly in the context of genomics and high-throughput biology. This method involves assigning weights to each hypothesis or test based on covariates independent of the P-values under the null hypothesis. These covariates are informative about the power of each test or the prior probability that the null hypothesis is true. IHW's approach helps identify more true associations while controlling the false discovery rate. IHW is a practical tool for handling large datasets and discovering meaningful associations in fields like genomics and other areas involving large-scale data analysis.