- recipe r-smartsva
Introduces a fast and efficient Surrogate Variable Analysis algorithm that captures variation of unknown sources (batch effects) for high-dimensional data sets. The algorithm is built on the 'irwsva.build' function of the 'sva' package and proposes a revision on it that achieves an order of magnitude faster running time while trading no accuracy loss in return.
- Homepage
- License
GPL3 / GPL-3
- Recipe
- package r-smartsva¶
-
- Versions
0.1.3-5
,0.1.3-4
,0.1.3-3
,0.1.3-2
,0.1.3-1
,0.1.3-0
- Depends
libgcc-ng
>=10.3.0
libstdcxx-ng
>=10.3.0
r-base
>=4.1,<4.2.0a0
- Required By
Installation
With an activated Bioconda channel (see 2. Set up channels), install with:
conda install r-smartsva
and update with:
conda update r-smartsva
or use the docker container:
docker pull quay.io/biocontainers/r-smartsva:<tag>
(see r-smartsva/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/r-smartsva/README.html)