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authorRicardo Wurmus <ricardo.wurmus@mdc-berlin.de>2015-06-12 15:47:18 +0200
committerRicardo Wurmus <ricardo.wurmus@mdc-berlin.de>2015-06-26 15:29:01 +0200
commit3a1bfe186df738600068615baa3df59211248b6b (patch)
treedeb1525fac58a10dce83c43146e40cee870cf4fe /gnu
parent0dde623211096642013bf05879982214dfb08b25 (diff)
downloadguix-3a1bfe186df738600068615baa3df59211248b6b.tar.gz
gnu: Add python2-fastlmm.
* gnu/packages/python.scm (python2-fastlmm): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/python.scm36
1 files changed, 36 insertions, 0 deletions
diff --git a/gnu/packages/python.scm b/gnu/packages/python.scm
index 7ddfcc6ffe..1b3934b351 100644
--- a/gnu/packages/python.scm
+++ b/gnu/packages/python.scm
@@ -2326,6 +2326,42 @@ capabilities.")
 (define python2-numpy-bootstrap
   (package-with-python2 python-numpy-bootstrap))
 
+(define-public python2-fastlmm
+  (package
+    (name "python2-fastlmm")
+    (version "0.2.14")
+    (source
+     (origin
+       (method url-fetch)
+       (uri (string-append
+             "https://pypi.python.org/packages/source/f/fastlmm"
+             "/fastlmm-" version ".zip"))
+       (sha256
+        (base32
+         "023sydkrc3yxad2bycar02jfswwlh4199kafzhf2bssyx2c3xa0l"))))
+    (build-system python-build-system)
+    (arguments
+     `(#:python ,python-2)) ; only Python 2.7 is supported
+    (propagated-inputs
+     `(("python2-numpy" ,python2-numpy)
+       ("python2-scipy" ,python2-scipy)
+       ("python2-matplotlib" ,python2-matplotlib)
+       ("python2-pandas" ,python2-pandas)
+       ("python2-scikit-learn" ,python2-scikit-learn)
+       ("python2-cython" ,python2-cython)
+       ("python2-pysnptools" ,python2-pysnptools)))
+    (native-inputs
+     `(("unzip" ,unzip)
+       ("python2-mock" ,python2-mock)
+       ("python2-setuptools" ,python2-setuptools)))
+    (home-page "http://research.microsoft.com/en-us/um/redmond/projects/mscompbio/fastlmm/")
+    (synopsis "Perform genome-wide association studies on large data sets")
+    (description
+     "FaST-LMM, which stands for Factored Spectrally Transformed Linear Mixed
+Models, is a program for performing both single-SNP and SNP-set genome-wide
+association studies (GWAS) on extremely large data sets.")
+    (license asl2.0)))
+
 (define-public python-numpy
   (package (inherit python-numpy-bootstrap)
     (name "python-numpy")