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DDRTree  

Learning Principal Graphs with DDRTree
View on CRAN: Click here


Download and install DDRTree package within the R console
Install from CRAN:
install.packages("DDRTree")

Install from Github:
library("remotes")
install_github("cran/DDRTree")

Install by package version:
library("remotes")
install_version("DDRTree", "0.1.5")



Attach the package and use:
library("DDRTree")
Maintained by
Xiaojie Qiu
[Scholar Profile | Author Map]
First Published: 2016-02-02
Latest Update: 2017-04-30
Description:
Provides an implementation of the framework of 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 the single cell genomics data. In general, it could be used to reconstruct the temporal progression as well as bifurcation structure of any datatype.
How to cite:
Xiaojie Qiu (2016). DDRTree: Learning Principal Graphs with DDRTree. R package version 0.1.5, https://cran.r-project.org/web/packages/DDRTree. Accessed 07 May. 2025.
Previous versions and publish date:
0.1.3 (2016-02-02 11:48), 0.1.4 (2016-07-26 02:03)
Other packages that cited DDRTree R package
View DDRTree citation profile
Other R packages that DDRTree depends, imports, suggests or enhances
Complete documentation for DDRTree
Functions, R codes and Examples using the DDRTree R package
Some associated functions: DDRTree . get_major_eigenvalue . pca_projection_R . sqdist_R . 
Some associated R codes: DDRTree.R . RcppExports.R . help.R .  Full DDRTree package functions and examples
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