- recipe bioconductor-classifyr
A framework for cross-validated classification problems, with applications to differential variability and differential distribution testing
- Homepage:
https://bioconductor.org/packages/3.14/bioc/html/ClassifyR.html
- License:
GPL-3
- Recipe:
- Links:
biotools: classifyr
The software formalises a framework for classification in R. There are four stages; Data transformation, feature selection, classifier training, and prediction. The requirements of variable types and names are fixed, but specialised variables for functions can also be provided. The classification framework is wrapped in a driver loop, that reproducibly carries out a number of cross-validation schemes. Functions for differential expression, differential variability, and differential distribution are included. Additional functions may be developed by the user, by creating an interface to the framework.
- package bioconductor-classifyr¶
-
- Versions:
2.14.0-0
,2.12.0-0
,2.10.0-1
,2.10.0-0
,2.8.0-0
,2.6.0-0
,2.4.4-0
,2.2.6-0
,2.2.4-0
,2.14.0-0
,2.12.0-0
,2.10.0-1
,2.10.0-0
,2.8.0-0
,2.6.0-0
,2.4.4-0
,2.2.6-0
,2.2.4-0
,2.0.10-0
,1.12.2-0
- Depends:
bioconductor-biocparallel
>=1.28.0,<1.29.0
bioconductor-multiassayexperiment
>=1.20.0,<1.21.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
r-base
>=4.1,<4.2.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-classifyr
and update with:
conda update bioconductor-classifyr
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-classifyr:<tag>
(see bioconductor-classifyr/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-classifyr/README.html)