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/3.14/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
1.30.0-01.28.0-01.26.0-31.26.0-21.26.0-11.26.0-01.25.0-01.24.0-01.22.0-0

1.30.0-01.28.0-01.26.0-31.26.0-21.26.0-11.26.0-01.25.0-01.24.0-01.22.0-01.20.0-11.20.0-01.18.0-01.16.0-01.14.0-0

Depends
Required By

Installation

With an activated Bioconda channel (see 2. 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>)

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