Package: immcp 1.0.5

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.

Authors:Yuanlong Hu [aut, cre]

immcp_1.0.5.tar.gz
immcp_1.0.5.zip(r-4.5)immcp_1.0.5.zip(r-4.4)immcp_1.0.5.zip(r-4.3)
immcp_1.0.5.tgz(r-4.4-any)immcp_1.0.5.tgz(r-4.3-any)
immcp_1.0.5.tar.gz(r-4.5-noble)immcp_1.0.5.tar.gz(r-4.4-noble)
immcp_1.0.5.tgz(r-4.4-emscripten)immcp_1.0.5.tgz(r-4.3-emscripten)
immcp.pdf |immcp.html✨
immcp/json (API)
NEWS

# Install 'immcp' in R:
install.packages('immcp', repos = c('https://yuanlonghu.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/yuanlonghu/immcp/issues

Datasets:

On CRAN:

network-pharmacologypolypharmacologytraditional-chinese-medicine

4.40 score 5 stars 2 scripts 186 downloads 20 exports 184 dependencies

Last updated 2 years agofrom:f48f683943. Checks:OK: 1 WARNING: 1 NOTE: 5. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-winNOTENov 10 2024
R-4.5-linuxWARNINGNov 10 2024
R-4.4-winNOTENov 10 2024
R-4.4-macNOTENov 10 2024
R-4.3-winNOTENov 10 2024
R-4.3-macNOTENov 10 2024

Exports:CreateBasicDataCreateDisDrugNetdiff_network_charenrich_fexportCytoscapeextr_biodescrnatural_connectivitynetwork_charnetwork_node_ksplot_BioDescrplot_graphPrepareDataread_gmtscore_networkscore_rulescore_simto_biodescrto_dfto_listwrite_gmt

Dependencies:abindAnnotationDbiapeaplotarulesaskpassbackportsbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitbit64blobbootbroombslibcachemcarcarDatacliclusterclusterProfilercodetoolscolorspacecorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdendextendDerivdigestdoByDOSEdplyrDTellipseemmeansenrichplotestimabilityevaluatefactoextraFactoMineRfansifarverfastmapfastmatchfgseaflashClustfontawesomeformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataggforceggfunggheatmapggnewscaleggplot2ggplotifyggpubrggrepelggsciggsignifggtangleggtreeglueGO.dbGOSemSimgridExtragridGraphicsgsongtablehighrhtmltoolshtmlwidgetshttpuvhttrigraphIRangesisobandjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivopensslopenxlsxorg.Hs.eg.dbpatchworkpbapplypbkrtestpillarpkgconfigplogrplyrpngpolyclippolynompromisesproxyCpurrrquantregqvalueR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownRSQLiterstatixS4Vectorssassscalesscatterpiescatterplot3dsnowSparseMstringistringrsurvivalsyssystemfontstibbletidyrtidyselecttidytreetinytextreeiotweenrUCSC.utilsutf8vctrsviridisviridisLitevisNetworkwithrxfunXVectoryamlyulab.utilszipzlibbioc

A Short Introduction to the immcp Package

Author: Yuanlong Hu

Rendered fromimmcp.Rmdusingknitr::rmarkdownon Nov 10 2024.

Last update: 2022-05-12
Started: 2020-05-19