- recipe bioconductor-regsplice
L1-regularization based methods for detection of differential splicing
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/regsplice.html
- License:
MIT + file LICENSE
- Recipe:
- 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:
1.24.0-0
,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
,1.24.0-0
,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
>=3.40.0,<3.41.0
bioconductor-limma
>=3.54.0,<3.55.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-regsplice/README.html)