recipe bioconductor-lungcanceracvssccgeo

A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.

Homepage:

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

License:

GPL-2

Recipe:

/bioconductor-lungcanceracvssccgeo/meta.yaml

This package contains 30 Affymetrix CEL files for 7 Adenocarcinoma (AC) and 8 Squamous cell carcinoma (SCC) lung cancer samples taken at random from 3 GEO datasets (GSE10245, GSE18842 and GSE2109) and other 15 samples from a dataset produced by the organizers of the IMPROVER Diagnostic Signature Challenge available from GEO (GSE43580).

package bioconductor-lungcanceracvssccgeo

(downloads) docker_bioconductor-lungcanceracvssccgeo

Versions:
1.34.0-1,  1.33.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-3,  1.26.0-2,  1.26.0-1,  1.26.0-0, 

1.34.0-1,  1.33.0-0,  1.30.0-1,  1.30.0-0,  1.28.0-0,  1.26.0-3,  1.26.0-2,  1.26.0-1,  1.26.0-0,  1.25.0-0,  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

Depends:
Required By:

Installation

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

conda install bioconductor-lungcanceracvssccgeo

and update with:

conda update bioconductor-lungcanceracvssccgeo

or use the docker container:

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

(see bioconductor-lungcanceracvssccgeo/tags for valid values for <tag>)

Download stats

Link to this page

Render an install-with-bioconda badge with the following MarkDown:

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