- recipe bioconductor-multtest
Resampling-based multiple hypothesis testing
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/multtest.html
- License:
LGPL
- Recipe:
- Links:
biotools: multtest, doi: 10.1007/0-387-29362-0_15
Non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.
- package bioconductor-multtest¶
-
- Versions:
2.54.0-1
,2.54.0-0
,2.50.0-2
,2.50.0-1
,2.50.0-0
,2.48.0-0
,2.46.0-1
,2.46.0-0
,2.44.0-0
,2.54.0-1
,2.54.0-0
,2.50.0-2
,2.50.0-1
,2.50.0-0
,2.48.0-0
,2.46.0-1
,2.46.0-0
,2.44.0-0
,2.42.0-0
,2.40.0-1
,2.38.0-0
,2.36.0-0
,2.34.0-0
,2.32.0-0
,2.28.0-1
,2.28.0-0
,2.26.0-0
- Depends:
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-biocgenerics
>=0.44.0,<0.45.0
libblas
>=3.9.0,<4.0a0
libgcc-ng
>=12
liblapack
>=3.9.0,<4.0a0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-multtest
and update with:
conda update bioconductor-multtest
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-multtest:<tag>
(see bioconductor-multtest/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-multtest/README.html)