Learn R Programming

immcp: Polypharmacology Toolkit for Traditional Chinese Medicine Research

This R package was a toolkit for TCM polypharmacology research. Based on the biological descriptors and drug-disease interaction networks, it can analyze the potential polypharmacological mechanisms of TCM and be used for drug repositioning in TCM.

  • Extract biological descriptors by defining the genesets, and calculate the similarity of the drug to the disease characterized by the biological descriptors
  • Create and analyze Drug-Disease Network

Installation

You can install it from CRAN:

install.packages("immcp")

You can also install a development release from GitHub using the devtools package :

install.packages("devtools")
library(devtools)
install_github("YuanlongHu/immcp")

Copy Link

Version

Install

install.packages('immcp')

Monthly Downloads

198

Version

1.0.3

License

GPL (>= 3)

Issues

Pull Requests

Stars

Forks

Maintainer

Yuanlong Hu

Last Published

May 12th, 2022

Functions in immcp (1.0.3)

to_df

to_df
write_gmt

write_gmt
network_node_ks

network_node_ks
exportCytoscape

Export an xlsx file to Cytoscape
plot_BioDescr

Plot Biological descriptor
score_rule

Mining herb-herb associations with Apriori
score_network

score_network
natural_connectivity

natural_connectivity
network_char

network_char
read_gmt

write_gmt
plot_graph

Plot Disease-Drug Network
to_biodescr

to_biodescr
score_sim

Calculating similarity between drug and disease
to_list

to_list
extr_biodescr

Extract Biological descriptor
extr_biodescr,BasicData-method

Extract Biological descriptor
enrich_f

enrich_f
BasicData-class

Class BasicData This class represents the basic input data.
CreateBasicData

CreateBasicData
CreateDisDrugNet

CreateDisDrugNet
diff_network_char

diff_network_char
drugdemo

Datasets Demo dataset
BioDescr-class

Class BioDescr This class represents the biological descriptor data.
PrepareData

PrepareData
HerbResult-class

Class HerbResult This class represents the biological descriptor data.