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Paketti: r-bioc-ihw (1.14.0+dfsg-1)

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.

Muut pakettiin r-bioc-ihw liittyvät paketit

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    R package for RNA-Seq Differential Expression Analysis
  • sug: r-cran-devtools
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  • sug: r-cran-gridextra
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  • sug: r-cran-knitr
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  • sug: r-cran-matrix
    GNU R package of classes for dense and sparse matrices
  • sug: r-cran-rmarkdown
    convert R markdown documents into a variety of formats

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