Package: pGRN 0.3.5
pGRN: Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference
Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.
Authors:
pGRN_0.3.5.tar.gz
pGRN_0.3.5.zip(r-4.5)pGRN_0.3.5.zip(r-4.4)pGRN_0.3.5.zip(r-4.3)
pGRN_0.3.5.tgz(r-4.4-any)pGRN_0.3.5.tgz(r-4.3-any)
pGRN_0.3.5.tar.gz(r-4.5-noble)pGRN_0.3.5.tar.gz(r-4.4-noble)
pGRN_0.3.5.tgz(r-4.4-emscripten)pGRN_0.3.5.tgz(r-4.3-emscripten)
pGRN.pdf |pGRN.html✨
pGRN/json (API)
# Install 'pGRN' in R: |
install.packages('pGRN', repos = c('https://gangcai.r-universe.dev', 'https://cloud.r-project.org')) |
- pGRNDB - PGRN example data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:f82aaedb03. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:data_transformget_dtw_dist_bidirectionalget_dtw_dist_matget_networksmatrix2adjmodule_networkspGRNplot_networkplot_network_irun_dtwrun_granger_testslideWindows
Dependencies:base64encBHbigmemorybigmemory.sribslibcachemclicodetoolscolorspacecpp11digestdoParalleldplyrdtwevaluatefansifarverfastmapfontawesomeforeachfsfuturegenericsggforceggplot2ggraphggrepelglobalsgluegraphlayoutsgridExtragtablehighrhtmltoolshtmlwidgetsigraphisobanditeratorsjquerylibjsonliteknitrlabelinglatticelifecyclelistenvlmtestmagrittrMASSMatrixmemoisemgcvmimemunsellnlmeparallellypillarpkgconfigpolyclipproxypurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangrmarkdownsassscalesstringistringrsystemfontstibbletidygraphtidyrtidyselecttinytextweenrutf8uuidvctrsviridisviridisLitevisNetworkwithrxfunyamlzoo
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Pseudotime based Expression Data Transformation | data_transform |
Bidirectional DTW Distance | get_dtw_dist_bidirectional |
DTW distance matrix for all genes | get_dtw_dist_mat |
Get the list of sub-networks | get_networks |
Convert distance matrix to adjacency dataframe | matrix2adj |
Get module level networks | module_networks |
pGRN: creates gene regulatory network based on single cell pseudotime information | pGRN |
pGRN example data | pGRNDB |
Plot stationary network | plot_network |
Plot interactive network | plot_network_i |
Get network adjacency dataframe based on DTW method | run_dtw |
Use Granger-causality Test to get gene-gene regulatory relationship | run_granger_test |
Sliding Window Average | slideWindows |