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immcp: Poly-Pharmacology Toolkit for Traditional Chinese Medicine Research

Toolkit for Poly-pharmacology Research of Traditional Chinese Medicine. Based on the biological descriptors and drug-disease interaction networks, it can analyze the potential poly-pharmacological mechanisms of Traditional Chinese Medicine and be used for drug-repositioning in Traditional Chinese Medicine.

Version: 1.0.3
Depends: igraph, R (≥ 4.0.0)
Imports: clusterProfiler, DOSE, dplyr, methods, magrittr, Matrix, openxlsx, org.Hs.eg.db, pbapply, proxyC, purrr, rlang (≥ 1.0.2), stats, utils, visNetwork (≥ 0.3.1), arules, ggplot2, ggheatmap, factoextra
Suggests: knitr, rmarkdown
Published: 2022-05-12
DOI: 10.32614/CRAN.package.immcp
Author: Yuanlong Hu ORCID iD [aut, cre]
Maintainer: Yuanlong Hu <huyuanlong1996 at 163.com>
BugReports: https://github.com/YuanlongHu/immcp/issues
License: GPL (≥ 3)
URL: https://github.com/YuanlongHu/immcp
NeedsCompilation: no
Materials: README NEWS
CRAN checks: immcp results

Documentation:

Reference manual: immcp.pdf
Vignettes: A Short Introduction to the immcp Package

Downloads:

Package source: immcp_1.0.3.tar.gz
Windows binaries: r-devel: immcp_1.0.3.zip, r-release: immcp_1.0.3.zip, r-oldrel: immcp_1.0.3.zip
macOS binaries: r-release (arm64): immcp_1.0.3.tgz, r-oldrel (arm64): immcp_1.0.3.tgz, r-release (x86_64): immcp_1.0.3.tgz, r-oldrel (x86_64): immcp_1.0.3.tgz
Old sources: immcp archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.