Package: DDRTree 0.1.6
DDRTree: Learning Principal Graphs with DDRTree
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.
Authors:
DDRTree_0.1.6.tar.gz
DDRTree_0.1.6.zip(r-4.7)DDRTree_0.1.6.zip(r-4.6)DDRTree_0.1.6.zip(r-4.5)
DDRTree_0.1.6.tgz(r-4.6-x86_64)DDRTree_0.1.6.tgz(r-4.6-arm64)DDRTree_0.1.6.tgz(r-4.5-x86_64)DDRTree_0.1.6.tgz(r-4.5-arm64)
DDRTree_0.1.6.tar.gz(r-4.7-arm64)DDRTree_0.1.6.tar.gz(r-4.7-x86_64)DDRTree_0.1.6.tar.gz(r-4.6-arm64)DDRTree_0.1.6.tar.gz(r-4.6-x86_64)
DDRTree_0.1.6.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DDRTree/json (API)
NEWS
| # Install 'DDRTree' in R: |
| install.packages('DDRTree', repos = c('https://brgew.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:630ab5f357. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 191 | ||
| linux-devel-x86_64 | OK | 160 | ||
| source / vignettes | OK | 168 | ||
| linux-release-arm64 | OK | 185 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 161 | ||
| macos-release-x86_64 | OK | 262 | ||
| macos-oldrel-arm64 | OK | 240 | ||
| macos-oldrel-x86_64 | OK | 312 | ||
| windows-devel | OK | 143 | ||
| windows-release | OK | 163 | ||
| windows-oldrel | OK | 216 | ||
| wasm-release | OK | 124 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Perform DDRTree construction | DDRTree-package DDRTree |
| Get the top L eigenvalues | get_major_eigenvalue |
| Compute the PCA projection | pca_projection_R |
| calculate the square distance between a, b | sqdist_R |
