- recipe bioconductor-fccac
functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets
- Homepage
- License
Artistic-2.0
- Recipe
- Links
biotools: fccac
An application of functional Canonical Correlation Analysis to allow the assessment of: (i) reproducibility of biological or technical replicates, analyzing their shared covariance in higher order components; and (ii) the associations between different datasets.
- package bioconductor-fccac¶
-
- Versions
1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.20.0-0
,1.18.0-0
,1.16.0-1
,1.16.0-0
,1.14.0-0
,1.12.0-0
,1.10.0-1
,1.8.0-0
,1.6.0-0
,1.2.0-0
- Depends
bioconductor-complexheatmap
>=2.10.0,<2.11.0
bioconductor-genomation
>=1.26.0,<1.27.0
bioconductor-genomicranges
>=1.46.0,<1.47.0
bioconductor-iranges
>=2.28.0,<2.29.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
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-fccac
and update with:
conda update bioconductor-fccac
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-fccac:<tag>
(see bioconductor-fccac/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-fccac/README.html)