recipe bioconductor-mapredictdsc

Phenotype prediction using microarray data: approach of the best overall team in the IMPROVER Diagnostic Signature Challenge

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/maPredictDSC.html

License:

GPL-2

Recipe:

/bioconductor-mapredictdsc/meta.yaml

Links:

biotools: mapredictdsc, doi: 10.1093/bioinformatics/btt492

This package implements the classification pipeline of the best overall team (Team221) in the IMPROVER Diagnostic Signature Challenge. Additional functionality is added to compare 27 combinations of data preprocessing, feature selection and classifier types.

package bioconductor-mapredictdsc

Versions:

1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.0-1,  1.20.0-0, 

1.36.0-0,  1.32.0-0,  1.30.0-0,  1.28.0-1,  1.28.0-0,  1.26.0-0,  1.24.0-1,  1.22.0-1,  1.20.0-0,  1.18.0-0,  1.16.0-0

Depends:

• bioconductor-affy >=1.76.0,<1.77.0

• bioconductor-annotationdbi >=1.60.0,<1.61.0

• bioconductor-gcrma >=2.70.0,<2.71.0

• bioconductor-hgu133plus2.db >=3.13.0,<3.14.0

• bioconductor-limma >=3.54.0,<3.55.0

• bioconductor-lungcanceracvssccgeo >=1.34.0,<1.35.0

• bioconductor-roc >=1.74.0,<1.75.0

• r-base >=4.2,<4.3.0a0

• r-caret

• r-class

• r-e1071

• r-mass

• r-rocr

Required By:

Installation

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

conda install bioconductor-mapredictdsc

and update with:

conda update bioconductor-mapredictdsc

or use the docker container:

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

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

Download stats

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