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pGRN  

Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("pGRN", "0.3.5")



Attach the package and use:
library("pGRN")
Maintained by
Gangcai Xie
[Scholar Profile | Author Map]
First Published: 2023-01-17
Latest Update: 2023-01-17
Description:
Inference and visualize gene regulatory network based on single-cell RNA sequencing pseudo-time information.
How to cite:
Gangcai Xie (2023). pGRN: Single-Cell RNA Sequencing Pseudo-Time Based Gene Regulatory Network Inference. R package version 0.3.5, https://cran.r-project.org/web/packages/pGRN. Accessed 13 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited pGRN R package
View pGRN citation profile
Other R packages that pGRN depends, imports, suggests or enhances
Complete documentation for pGRN
Functions, R codes and Examples using the pGRN R package
Some associated functions: data_transform . get_dtw_dist_bidirectional . get_dtw_dist_mat . get_networks . matrix2adj . module_networks . pGRN . pGRNDB . plot_network . plot_network_i . run_dtw . run_granger_test . slideWindows . 
Some associated R codes: data.R . dtw.R . models.R . network.R . pgrn.R .  Full pGRN package functions and examples
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