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Independent Hypothesis Weighting

An R package which implements the method described in:

Data-driven hypothesis weighting increases detection power in big data analytics

Software availability

The package can be installed as follows with devtools from the Github repositories:

devtools::install_github("vladchimescu/lpsymphony", subdir="lpsymphony")
devtools::install_github("nignatiadis/IHW")

In addition, these packages will be available in the next release of Bioconductor. Both lpsymphony and IHW are also already available on the development branch of Bioconductor. Thus IHW can also be installed from there as follows:

source("https://bioconductor.org/biocLite.R")
biocLite("IHW")

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Version

Version

1.0.2

License

Artistic-2.0

Maintainer

Nikos Ignatiadis

Last Published

February 15th, 2017

Functions in IHW (1.0.2)

ihw.DESeqResults

ihw.DESeqResults: IHW method dispatching on DESeqResults objects
get_bh_threshold

Data-driven threshold of Benjamini Hochberg Procedure
plot,ihwResult-method

Convenience function to plot weights learned by ihw method
ihwResult-class

An S4 class to represent the ihw output.
ihw.default

ihw: Main function for Independent Hypothesis Weighting
groups_by_filter

Stratify hypotheses based on increasing value of the covariate