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author | Maxim Cournoyer <maxim.cournoyer@gmail.com> | 2022-04-29 13:35:58 -0400 |
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committer | Maxim Cournoyer <maxim.cournoyer@gmail.com> | 2022-05-31 14:52:18 -0400 |
commit | 23e133a907905875f79736cd83b554eb0b487f95 (patch) | |
tree | 49b969e42b6f915544c900b85bc2e086d903206d /gnu/packages | |
parent | bb35b50adc132c416f1d00c9c632e00327b889bf (diff) | |
download | guix-patches-23e133a907905875f79736cd83b554eb0b487f95.tar guix-patches-23e133a907905875f79736cd83b554eb0b487f95.tar.gz |
gnu: Remove python2-warpedlmm.
* gnu/packages/bioinformatics.scm (python2-warpedlmm): Delete variable.
Diffstat (limited to 'gnu/packages')
-rw-r--r-- | gnu/packages/bioinformatics.scm | 41 |
1 files changed, 0 insertions, 41 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm index e7c749c453..916b84cba9 100644 --- a/gnu/packages/bioinformatics.scm +++ b/gnu/packages/bioinformatics.scm @@ -5366,47 +5366,6 @@ interrupted by stop codons. OrfM finds and prints these ORFs.") files and writing bioinformatics applications.") (license license:bsd-3))) -(define-public python2-warpedlmm - (package - (name "python2-warpedlmm") - (version "0.21") - (source - (origin - (method url-fetch) - (uri (pypi-uri "WarpedLMM" version ".zip")) - (sha256 - (base32 - "1agfz6zqa8nc6cw47yh0s3y14gkpa9wqazwcj7mwwj3ffnw39p3j")))) - (build-system python-build-system) - (arguments - `(#:python ,python-2 ; requires Python 2.7 - #:tests? #f ; test data are not included - #:phases - (modify-phases %standard-phases - (add-after 'unpack 'use-weave - (lambda _ - (substitute* "warpedlmm/util/linalg.py" - (("from scipy import linalg, weave") - "from scipy import linalg\nimport weave")) - #t))))) - (propagated-inputs - (list python2-scipy - python2-numpy - python2-matplotlib - python2-fastlmm - python2-pandas - python2-pysnptools - python2-weave)) - (native-inputs - (list python2-mock python2-nose unzip)) - (home-page "https://github.com/PMBio/warpedLMM") - (synopsis "Implementation of warped linear mixed models") - (description - "WarpedLMM is a Python implementation of the warped linear mixed model, -which automatically learns an optimal warping function (or transformation) for -the phenotype as it models the data.") - (license license:asl2.0))) - (define-public prank (package (name "prank") |