- recipe bioconductor-messina
Single-gene classifiers and outlier-resistant detection of differential expression for two-group and survival problems
- Homepage:
https://bioconductor.org/packages/3.18/bioc/html/messina.html
- License:
EPL (>= 1.0)
- Recipe:
- Links:
biotools: messina
Messina is a collection of algorithms for constructing optimally robust single-gene classifiers, and for identifying differential expression in the presence of outliers or unknown sample subgroups. The methods have application in identifying lead features to develop into clinical tests (both diagnostic and prognostic), and in identifying differential expression when a fraction of samples show unusual patterns of expression.
- package bioconductor-messina¶
- versions:
1.42.0-0
,1.38.0-0
,1.36.0-0
,1.34.0-2
,1.34.0-1
,1.34.0-0
,1.30.0-2
,1.30.0-1
,1.30.0-0
,1.42.0-0
,1.38.0-0
,1.36.0-0
,1.34.0-2
,1.34.0-1
,1.34.0-0
,1.30.0-2
,1.30.0-1
,1.30.0-0
,1.28.0-0
,1.26.0-1
,1.26.0-0
,1.24.0-0
,1.22.0-0
,1.20.0-1
,1.20.0-0
,1.18.0-0
,1.16.0-0
,1.14.0-0
,1.12.0-0
- depends libblas:
>=3.9.0,<4.0a0
- depends libgcc:
>=13
- depends liblapack:
>=3.9.0,<4.0a0
- depends libstdcxx:
>=13
- depends r-base:
>=4.4,<4.5.0a0
- depends r-foreach:
>=1.4.1
- depends r-ggplot2:
>=0.9.3.1
- depends r-plyr:
>=1.8
- depends r-rcpp:
>=0.11.1
- depends r-survival:
>=2.37-4
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-messina and update with:: mamba update bioconductor-messina
To create a new environment, run:
mamba create --name myenvname bioconductor-messina
with
myenvname
being a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, use the docker container:
docker pull quay.io/biocontainers/bioconductor-messina:<tag> (see `bioconductor-messina/tags`_ for valid values for ``<tag>``)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-messina/README.html)