# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# /opt/recipe, last modified Tue Nov  8 22:57:12 2022
# ------------------------------------------------

package:
  name: bioconductor-aucell
  version: 1.20.1
source:
  md5: 1da1c84f54ae28d244fdcf6df5de12b1
  url:
    - https://bioarchive.galaxyproject.org/AUCell_1.20.1.tar.gz
    - https://bioconductor.org/packages/3.16/bioc/src/contrib/AUCell_1.20.1.tar.gz
    - https://depot.galaxyproject.org/software/bioconductor-aucell/bioconductor-aucell_1.20.1_src_all.tar.gz
build:
  noarch: generic
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r42hdfd78af_0
requirements:
  host:
    - _libgcc_mutex 0.1 conda_forge
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    - bioconductor-annotationdbi 1.60.0 r42hdfd78af_0
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    - bioconductor-data-packages 20221108 hdfd78af_1
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    - bioconductor-zlibbioc 1.44.0 r42hc0cfd56_0
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    - yaml 0.2.5 h7f98852_2
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  run:
    - bioconductor-biocgenerics >=0.44.0,<0.45.0
    - bioconductor-delayedarray >=0.24.0,<0.25.0
    - bioconductor-delayedmatrixstats >=1.20.0,<1.21.0
    - bioconductor-gseabase >=1.60.0,<1.61.0
    - bioconductor-summarizedexperiment >=1.28.0,<1.29.0
    - r-base >=4.2,<4.3.0a0
    - r-data.table
    - r-mixtools
    - r-r.utils
    - r-shiny
test:
  commands:
    - $R -e "library('AUCell')"
about:
  description: AUCell allows to identify cells with active gene sets (e.g. signatures,
    gene modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the
    Curve" (AUC) to calculate whether a critical subset of the input gene set is enriched
    within the expressed genes for each cell. The distribution of AUC scores across
    all the cells allows exploring the relative expression of the signature. Since
    the scoring method is ranking-based, AUCell is independent of the gene expression
    units and the normalization procedure. In addition, since the cells are evaluated
    individually, it can easily be applied to bigger datasets, subsetting the expression
    matrix if needed.
  home: https://bioconductor.org/packages/3.16/bioc/html/AUCell.html
  license: GPL-3
  license_file: /opt/conda/conda-bld/bioconductor-aucell_1667951795353/_h_env_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_placehold_pla/lib/R/share/licenses/GPL-3
  summary: 'AUCell: Analysis of ''gene set'' activity in single-cell RNA-seq data
    (e.g. identify cells with specific gene signatures)'
extra:
  copy_test_source_files: true
  final: true
