package:
  name: bioconductor-dose
  version: 2.10.7
source:
  fn: DOSE_2.10.7.tar.gz
  url: https://bioconductor.statistik.tu-dortmund.de/packages/3.3/bioc/src/contrib/DOSE_2.10.7.tar.gz
  md5: efedb464ed94567791746ecaa8d396aa
build:
  number: 0
  rpaths:
    - lib/R/lib/
    - lib/
requirements:
  build:
    - bioconductor-annotationdbi
    - bioconductor-do.db
    - bioconductor-gosemsim
    - bioconductor-qvalue
    - r-base
    - r-ggplot2
    - r-igraph
    - r-plyr
    - r-reshape2
    - r-scales
    - gmp
  run:
    - bioconductor-annotationdbi
    - bioconductor-do.db
    - bioconductor-gosemsim
    - bioconductor-qvalue
    - r-base
    - r-ggplot2
    - r-igraph
    - r-plyr
    - r-reshape2
    - r-scales
    - gmp
test:
  commands:
    - '$R -e "library(''DOSE'')"'
about:
  home: http://bioconductor.org/packages/release/bioc/html/DOSE.html
  license: Artistic-2.0
  summary: 'This package implements five methods proposed by Resnik, Schlicker, Jiang,
    Lin and Wang respectively for measuring semantic similarities among DO terms and
    gene products. Enrichment analyses including hypergeometric model and gene set
    enrichment analysis are also implemented for discovering disease associations
    of high-throughput biological data.'
