recipe bioconductor-fccac

functional Canonical Correlation Analysis to evaluate Covariance between nucleic acid sequencing datasets

Homepage:

https://bioconductor.org/packages/3.14/bioc/html/fCCAC.html

License:

Artistic-2.0

Recipe:

/bioconductor-fccac/meta.yaml

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

• r-fda

• r-ggplot2

• r-rcolorbrewer

Required By:

Installation

With an activated Bioconda channel (see 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

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