aboutsummaryrefslogtreecommitdiff
path: root/gnu
diff options
context:
space:
mode:
authorRicardo Wurmus <ricardo.wurmus@mdc-berlin.de>2019-01-07 16:40:37 +0100
committerRicardo Wurmus <rekado@elephly.net>2019-01-07 18:44:04 +0100
commite3bb076678aa25b5394b4d35c38aaa3607065082 (patch)
tree05796d1aa49ec91f13dafa4083bd00888d11143e /gnu
parent9f33d76c33545ea2f47981ba5ec5936cdf767f3f (diff)
downloadpatches-e3bb076678aa25b5394b4d35c38aaa3607065082.tar
patches-e3bb076678aa25b5394b4d35c38aaa3607065082.tar.gz
gnu: Add r-ddrtree.
* gnu/packages/cran.scm (r-ddrtree): New variable.
Diffstat (limited to 'gnu')
-rw-r--r--gnu/packages/cran.scm31
1 files changed, 31 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm
index b1a23b9eb1..02fe328318 100644
--- a/gnu/packages/cran.scm
+++ b/gnu/packages/cran.scm
@@ -8821,3 +8821,34 @@ package for using sparse matrices. Some of the functions are very general,
while other are highly specific for the special data format used for
@dfn{quantitative language comparison} (QLC).")
(license license:gpl3)))
+
+(define-public r-ddrtree
+ (package
+ (name "r-ddrtree")
+ (version "0.1.5")
+ (source
+ (origin
+ (method url-fetch)
+ (uri (cran-uri "DDRTree" version))
+ (sha256
+ (base32
+ "16s5fjw7kwlxhrkzdny62sx32fvmg3rxjc3wrh6krd31jh1fqlfk"))))
+ (properties `((upstream-name . "DDRTree")))
+ (build-system r-build-system)
+ (propagated-inputs
+ `(("r-bh" ,r-bh)
+ ("r-irlba" ,r-irlba)
+ ("r-rcpp" ,r-rcpp)
+ ("r-rcppeigen" ,r-rcppeigen)))
+ (home-page "https://cran.r-project.org/web/packages/DDRTree")
+ (synopsis "Learning principal graphs with DDRTree")
+ (description
+ "This package provides an implementation of the framework of
+@dfn{reversed graph embedding} (RGE) which projects data into a reduced
+dimensional space while constructs a principal tree which passes through the
+middle of the data simultaneously. DDRTree shows superiority to
+alternatives (Wishbone, DPT) for inferring the ordering as well as the
+intrinsic structure of single cell genomics data. In general, it could be
+used to reconstruct the temporal progression as well as the bifurcation
+structure of any data type.")
+ (license license:asl2.0)))