recipe bioconductor-regsplice

L1-regularization based methods for detection of differential splicing

Homepage

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

License

MIT + file LICENSE

Recipe

/bioconductor-regsplice/meta.yaml

Links

biotools: regsplice, doi: 10.1038/nmeth.3252

Statistical methods for detection of differential splicing (differential exon usage) in RNA-seq and exon microarray data, using L1-regularization (lasso) to improve power.

package bioconductor-regsplice

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,  1.4.0-0

Depends

• bioconductor-edger >=3.36.0,<3.37.0

• bioconductor-limma >=3.50.0,<3.51.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• r-base >=4.1,<4.2.0a0

• r-glmnet

• r-pbapply

Required By

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-regsplice

and update with:

conda update bioconductor-regsplice

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-regsplice:<tag>

(see bioconductor-regsplice/tags for valid values for <tag>)

Download stats

Link to this page

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