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immcp: Candidate Prescriptions Discovery Based on Pathway Fingerprint

This package implements the method proposed by Ye for pathway fingerprint. Candidate herbal prescriptions can be discovered based on the pathway fingerprint similarity between disease and prescriptions.

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")

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Version

Install

install.packages('immcp')

Monthly Downloads

198

Version

0.9.2

License

GPL-3

Issues

Pull Requests

Stars

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Maintainer

Yuanlong Hu

Last Published

November 14th, 2020

Functions in immcp (0.9.2)

extrFP

extrFP
ScoreFP-class

Class "ScoreFP" This class represents the pathway fingerprint.
as.data.frame

Coerce a ScoreResult object into a data frame
imm_centr

imm_centr
head

Return the First Parts of a ScoreResult Object
ScoreResult-class

Class "ScoreResult"
to_df

to_df
to_list

to_list
viewpathway

viewpathway
write_gmt

write_gmt
read_gmt

write_gmt
getF

getF
get_result

get_result
score_fp

score_fp
immcp-package

Candidate Prescriptions Discovery Based on Pathway Fingerprint
CreateBasicData

CreateBasicData
overlap_pathway

overlap_pathway
res_rank

res_rank
simFP

simFP
score_network

score_network
tail

Return the last Parts of a ScoreResult Object
BasicData-class

Class "BasicData" This class represents the basic input data.
PrepareData

PrepareData
drugResult

A demo dataset contains all result.
drugSample

A demo dataset contains a sample of herbal prescription.
getDEG

getDEG
plot_network

plot_network
plot_density

plot_density