recipe bioconductor-tuberculosis

Tuberculosis Gene Expression Data for Machine Learning

Homepage:

https://bioconductor.org/packages/3.16/data/experiment/html/tuberculosis.html

License:

Artistic-2.0

Recipe:

/bioconductor-tuberculosis/meta.yaml

The tuberculosis R/Bioconductor package features tuberculosis gene expression data for machine learning. All human samples from GEO that did not come from cell lines, were not taken postmortem, and did not feature recombination have been included. The package has more than 10,000 samples from both microarray and sequencing studies that have been processed from raw data through a hyper-standardized, reproducible pipeline.

package bioconductor-tuberculosis

Versions:

1.4.0-0,  1.0.0-1,  1.0.0-0

Depends:

• bioconductor-annotationhub >=3.6.0,<3.7.0

• bioconductor-data-packages >=20221108

• bioconductor-experimenthub >=2.6.0,<2.7.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-summarizedexperiment >=1.28.0,<1.29.0

• curl

• r-base >=4.2,<4.3.0a0

• r-dplyr

• r-magrittr

• r-purrr

• r-rlang

• r-stringr

• r-tibble

• r-tidyr

Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-tuberculosis

and update with:

conda update bioconductor-tuberculosis

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-tuberculosis:<tag>

(see bioconductor-tuberculosis/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-tuberculosis/README.html)