- 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
- 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
- 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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-regsplice/README.html)