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authorNavid Afkhami <navid.afkhami@mdc-berlin.de>2024-10-30 19:14:11 +0000
committerRicardo Wurmus <rekado@elephly.net>2024-11-01 12:16:22 +0100
commita007045b7c6d26a8a051356c51481beaed6a2bfd (patch)
treecebc88dcda8b926b7afd198437062b5fbe0c0f76 /gnu/packages
parent7ea473d0cd6c7dbe955b2f4a0bbb6ffb844b3732 (diff)
downloadguix-a007045b7c6d26a8a051356c51481beaed6a2bfd.tar
guix-a007045b7c6d26a8a051356c51481beaed6a2bfd.tar.gz
gnu: Add r-netid.
* gnu/packages/bioinformatics.scm (r-netid): New variable. Change-Id: Icf8fd23c6f24252350c783faa7f34f35eb1fbce2 Signed-off-by: Ricardo Wurmus <rekado@elephly.net>
Diffstat (limited to 'gnu/packages')
-rw-r--r--gnu/packages/bioinformatics.scm44
1 files changed, 44 insertions, 0 deletions
diff --git a/gnu/packages/bioinformatics.scm b/gnu/packages/bioinformatics.scm
index 1cfcc4aa56..3c1c180b7c 100644
--- a/gnu/packages/bioinformatics.scm
+++ b/gnu/packages/bioinformatics.scm
@@ -1062,6 +1062,50 @@ simultaneously considered.")
with DNA methylation micro-array data.")
(license license:unlicense))))
+(define-public r-netid
+ (let ((commit "6ad1ffdd64a6584cc1d392524dad8e248d4590a8")
+ (revision "1"))
+ (package
+ (name "r-netid")
+ (version (git-version "0.1.0" revision commit))
+ (source
+ (origin
+ (method git-fetch)
+ (uri (git-reference
+ (url "https://github.com/WWXkenmo/NetID_package")
+ (commit commit)))
+ (file-name (git-file-name name version))
+ (sha256
+ (base32 "1blm5ljql91xmbyxxwm3vw8iz8d4ir9gm7wfnapqhfdbjvg4l21q"))))
+ (properties `((upstream-name . "NetID")))
+ (build-system r-build-system)
+ (propagated-inputs (list r-doparallel
+ r-dorng
+ r-glmnet
+ r-hmisc
+ r-igraph
+ r-irlba
+ r-lmtest
+ r-matrix
+ r-mclust
+ r-pracma
+ r-raceid
+ r-rarpack
+ r-reticulate
+ r-robustrankaggreg
+ r-rsvd
+ r-seurat))
+ (native-inputs (list r-knitr))
+ (home-page "https://github.com/WWXkenmo/NetID_package")
+ (synopsis
+ "Scalable method to infer fate-specific networks from single-cell data")
+ (description
+ "This package provides a method to sample cells from single-cell data.
+It also generates an aggregate profile on a pruned K-Nearest Neighbor graph.
+This approach leads to an improved gene expression profile for quantifying
+gene regulations.")
+ (license license:expat))))
+
(define-public r-numbat
(let ((commit "4ab7752e7d267a3f443756675728521a9b0a7295")
(revision "1"))