This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, seeIHW.
Bioconductor version: 3.7
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.
Author: Nikos Ignatiadis [aut, cre], Wolfgang Huber [aut]
Maintainer: Nikos Ignatiadis
Citation (from within R, entercitation("IHW")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("//www.anjoumacpherson.com/biocLite.R") biocLite("IHW")
查看文档的版本包age installed in your system, start R and enter:
browseVignettes("IHW")
HTML | R Script | Introduction to IHW |
Reference Manual |
biocViews | MultipleComparison,RNASeq,Software |
Version | 1.8.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (2.5 years) |
License | Artistic-2.0 |
Depends | R (>= 3.3.0) |
Imports | methods,slam,lpsymphony,fdrtool,BiocGenerics |
LinkingTo | |
Suggests | ggplot2,dplyr,gridExtra,scales,DESeq2,airway,testthat,Matrix,BiocStyle,knitr,rmarkdown,devtools |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | IHWpaper |
Imports Me | ideal |
Suggests Me | BloodCancerMultiOmics2017,DESeq2,SummarizedBenchmark |
Links To Me | |
Build Report |
Followbob 体育网址 instructions to use this package in your R session.
Source Package | IHW_1.8.0.tar.gz |
Windows Binary | IHW_1.8.0.zip |
Mac OS X 10.11 (El Capitan) | IHW_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/IHW |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/IHW |
Package Short Url | //www.anjoumacpherson.com/packages/IHW/ |
Package Downloads Report | Download Stats |
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