- recipe bioconductor-mlseq
Machine Learning Interface for RNA-Seq Data
- Homepage:
- License:
GPL(>=2)
- Recipe:
- Links:
biotools: mlseq, doi: 10.1038/nmeth.3252
This package applies several machine learning methods, including SVM, bagSVM, Random Forest and CART to RNA-Seq data.
- package bioconductor-mlseq¶
-
- Versions:
2.16.0-0
,2.12.0-0
,2.10.0-0
,2.8.0-1
,2.8.0-0
,2.6.0-0
,2.4.0-0
,2.2.1-1
,2.0.0-0
,2.16.0-0
,2.12.0-0
,2.10.0-0
,2.8.0-1
,2.8.0-0
,2.6.0-0
,2.4.0-0
,2.2.1-1
,2.0.0-0
,1.20.3-0
,1.18.0-0
- Depends:
bioconductor-biobase
>=2.58.0,<2.59.0
bioconductor-deseq2
>=1.38.0,<1.39.0
bioconductor-edger
>=3.40.0,<3.41.0
bioconductor-limma
>=3.54.0,<3.55.0
bioconductor-sseq
>=1.36.0,<1.37.0
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-mlseq
and update with:
conda update bioconductor-mlseq
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-mlseq:<tag>
(see bioconductor-mlseq/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-mlseq/README.html)