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{% set version = "1.14.0" %}
{% set name = "biosigner" %}
{% set bioc = "3.10" %}
package:
name: 'bioconductor-{{ name|lower }}'
version: '{{ version }}'
source:
url:
- 'https://bioconductor.org/packages/{{ bioc }}/bioc/src/contrib/{{ name }}_{{ version }}.tar.gz'
- 'https://bioarchive.galaxyproject.org/{{ name }}_{{ version }}.tar.gz'
- 'https://depot.galaxyproject.org/software/bioconductor-{{ name }}/bioconductor-{{ name }}_{{ version }}_src_all.tar.gz'
md5: 9f692ba6fded9b687b3bc1191b796f18
build:
number: 0
rpaths:
- lib/R/lib/
- lib/
noarch: generic
# Suggests: BioMark, BiocGenerics, BiocStyle, golubEsets, hu6800.db, knitr, omicade4, rmarkdown, testthat
requirements:
host:
- 'bioconductor-biobase >=2.46.0,<2.47.0'
- 'bioconductor-multidataset >=1.14.0,<1.15.0'
- 'bioconductor-ropls >=1.18.0,<1.19.0'
- r-base
- r-e1071
- r-randomforest
run:
- 'bioconductor-biobase >=2.46.0,<2.47.0'
- 'bioconductor-multidataset >=1.14.0,<1.15.0'
- 'bioconductor-ropls >=1.18.0,<1.19.0'
- r-base
- r-e1071
- r-randomforest
test:
commands:
- '$R -e "library(''{{ name }}'')"'
about:
home: 'https://bioconductor.org/packages/{{ bioc }}/bioc/html/{{ name }}.html'
license: CeCILL
summary: 'Signature discovery from omics data'
description: 'Feature selection is critical in omics data analysis to extract restricted and meaningful molecular signatures from complex and high-dimension data, and to build robust classifiers. This package implements a new method to assess the relevance of the variables for the prediction performances of the classifier. The approach can be run in parallel with the PLS-DA, Random Forest, and SVM binary classifiers. The signatures and the corresponding ''restricted'' models are returned, enabling future predictions on new datasets. A Galaxy implementation of the package is available within the Workflow4metabolomics.org online infrastructure for computational metabolomics.'
extra:
identifiers:
- biotools:biosigner
- doi:10.3389/fmolb.2016.00026
parent_recipe:
name: bioconductor-biosigner
path: recipes/bioconductor-biosigner
version: 1.8.0
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