- 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
2.12.0-0
,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
,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
>=2.54.0,<2.55.0
bioconductor-deseq2
>=1.34.0,<1.35.0
bioconductor-edger
>=3.36.0,<3.37.0
bioconductor-limma
>=3.50.0,<3.51.0
bioconductor-sseq
>=1.32.0,<1.33.0
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-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)