- recipe bioconductor-quantro
A test for when to use quantile normalization
- Homepage
https://bioconductor.org/packages/3.14/bioc/html/quantro.html
- License
GPL (>=3)
- Recipe
- Links
biotools: quantro
A data-driven test for the assumptions of quantile normalization using raw data such as objects that inherit eSets (e.g. ExpressionSet, MethylSet). Group level information about each sample (such as Tumor / Normal status) must also be provided because the test assesses if there are global differences in the distributions between the user-defined groups.
- package bioconductor-quantro¶
-
- Versions
1.28.0-0
,1.26.0-0
,1.24.0-1
,1.24.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.16.0-1
,1.16.0-0
,1.28.0-0
,1.26.0-0
,1.24.0-1
,1.24.0-0
,1.22.0-0
,1.20.0-0
,1.18.0-1
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-0
- Depends
bioconductor-biobase
>=2.54.0,<2.55.0
bioconductor-minfi
>=1.40.0,<1.41.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install bioconductor-quantro
and update with:
conda update bioconductor-quantro
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-quantro:<tag>
(see bioconductor-quantro/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-quantro/README.html)