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authorRicardo Wurmus <rekado@elephly.net>2021-06-03 12:18:35 +0200
committerRicardo Wurmus <rekado@elephly.net>2021-06-03 12:22:29 +0200
commit0928e552662965f5a18fbc831e6c9758744bd042 (patch)
treecb744b61573198e52dcd59357f4ea242e400234a /gnu
parent13b737f132b16bf26793ae05fc0d1f2f7180b25d (diff)
gnu: Add fit-sne.
* gnu/packages/bioinformatics.scm (fit-sne): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/bioinformatics.scm63
1 files changed, 63 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index 94d15cc4c0..408c93bd34 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -11214,6 +11214,69 @@ spliced (back-spliced) sequencing reads, indicative of circular RNA (circRNA)
in RNA-seq data.")
(license license:gpl3))))
+(define-public fit-sne
+ (package
+ (name "fit-sne")
+ (version "1.2.1")
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/KlugerLab/FIt-SNE")
+ (commit (string-append "v" version))))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32
+ "1imq4577awc226wvygf94kpz156qdfw8xl0w0f7ss4w10lhmpmf5"))))
+ (build-system gnu-build-system)
+ (arguments
+ `(#:tests? #false ; there are none
+ #:phases
+ ;; There is no build system.
+ (modify-phases %standard-phases
+ (delete 'configure)
+ (replace 'build
+ (lambda _
+ (invoke "g++" "-std=c++11" "-O3"
+ "src/sptree.cpp"
+ "src/tsne.cpp"
+ "src/nbodyfft.cpp"
+ "-o" "bin/fast_tsne"
+ "-pthread" "-lfftw3" "-lm"
+ "-Wno-address-of-packed-member")))
+ (replace 'install
+ (lambda* (#:key outputs #:allow-other-keys)
+ (let* ((out (assoc-ref outputs "out"))
+ (bin (string-append out "/bin"))
+ (share (string-append out "/share/fit-sne")))
+ (for-each (lambda (file) (install-file file bin))
+ (find-files "bin"))
+
+ (substitute* "fast_tsne.R"
+ (("^FAST_TSNE_SCRIPT_DIR.*")
+ (string-append "FAST_TSNE_SCRIPT_DIR = \"" out "\"\n")))
+ (install-file "fast_tsne.R" share)))))))
+ (inputs
+ `(("fftw" ,fftw)))
+ (home-page "https://github.com/KlugerLab/FIt-SNE")
+ (synopsis "Fast Fourier Transform-accelerated interpolation-based t-SNE")
+ (description "@dfn{t-Stochastic Neighborhood Embedding} (t-SNE) is a
+method for dimensionality reduction and visualization of high dimensional
+datasets. A popular implementation of t-SNE uses the Barnes-Hut algorithm to
+approximate the gradient at each iteration of gradient descent. This
+implementation differs in these ways:
+
+@itemize
+@item Instead of approximating the N-body simulation using Barnes-Hut, we
+ interpolate onto an equispaced grid and use FFT to perform the convolution.
+@item Instead of computing nearest neighbors using vantage-point trees, we
+ approximate nearest neighbors using the Annoy library. The neighbor lookups
+ are multithreaded to take advantage of machines with multiple cores.
+@end itemize
+")
+ ;; See LICENSE.txt for details on what license applies to what files.
+ (license (list license:bsd-4 license:expat license:asl2.0))))
+
(define-public python-scanpy
(package
(name "python-scanpy")