Package: r-bioc-ihw (1.34.0+dfsg-1)

[ Source: r-bioc-ihw  ]

Experimental package

Warning: This package is from the experimental distribution. That means it is likely unstable or buggy, and it may even cause data loss. Please be sure to consult the changelog and other possible documentation before using it.

GNU R independent hypothesis weighting

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

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