Package: iModMix 1.2.0
iModMix: Integrative Modules for Multi-Omics Data
The iModMix network-based method offers an integrated framework for analyzing multi-omics data, including metabolomics, proteomics, and transcriptomics data, enabling the exploration of intricate molecular associations within heterogeneous biological systems.
Authors:
iModMix_1.2.0.tar.gz
iModMix_1.2.0.zip(r-4.7)iModMix_1.2.0.zip(r-4.6)iModMix_1.2.0.zip(r-4.5)
iModMix_1.2.0.tgz(r-4.6-any)iModMix_1.2.0.tgz(r-4.5-any)
iModMix_1.2.0.tar.gz(r-4.7-any)iModMix_1.2.0.tar.gz(r-4.6-any)
iModMix_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iModMix/json (API)
NEWS
| # Install 'iModMix' in R: |
| install.packages('iModMix', repos = c('https://bioc-release.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/biodatalab/imodmix/issues
On BioConductor:iModMix-1.3.0(bioc 3.24)iModMix-1.2.0(bioc 3.23)
softwarenetworkclusteringvisualizationtranscriptomicsproteomicsmetabolomicsgeneexpressionprincipalcomponentbioinformaticsmultiomics
Last updated from:45dbc5c29a (on RELEASE_3_23). Checks:1 NOTE, 9 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | NOTE | 206 | ||
| linux-devel-x86_64 | OK | 238 | ||
| source / vignettes | OK | 273 | ||
| linux-release-x86_64 | OK | 228 | ||
| macos-release-arm64 | OK | 93 | ||
| macos-oldrel-arm64 | OK | 126 | ||
| windows-devel | OK | 126 | ||
| windows-release | OK | 125 | ||
| windows-oldrel | OK | 115 | ||
| wasm-release | OK | 179 |
Exports:fctAssignmentGenesEnrichrfctClusterAssignmentsfctEigengenesfctFeaturesAnnotCorrelationfctHierarchicalClusterfctiModMix2SEfctLoadDatafctModulesCorrelationfctPartialCorsfctPerformClassificationrun_app
Dependencies:abindAnnotationDbiAnnotationHubaskpassattemptbackportsbase64encBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobbslibcachemcheckmatecirclizecliclueclustercodetoolscolorspacecommonmarkComplexHeatmapconfigcorrplotcowplotcpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydigestdoParalleldplyrDTdynamicTreeCutevaluateExperimentHubfarverfastclusterfastmapfilelockfontawesomeforeachforeignFormulafsgenericsGenomicRangesGetoptLongggplot2glassoFastGlobalOptionsgluegolemgridExtragtableherehighrHmischtmlTablehtmltoolshtmlwidgetshttpuvhttrhttr2iModMixDataimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglaterlatticelazyevallifecyclemagrittrMatrixMatrixGenericsmatrixStatsmemoisemimennetopensslotelpillarpkgconfigpngpreprocessCorepromisespurrrR6rappdirsRColorBrewerRcpprjsonrlangrmarkdownrpartrprojrootRSQLiterstudioapiS4ArraysS4VectorsS7sassscalesSeqinfoshapeshinyshinyBSsourcetoolsSparseArraystringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitevisNetworkWGCNAwithrxfunxtableXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| fctAssignmentGenesEnrichr | fctAssignmentGenesEnrichr |
| fctClusterAssignments | fctClusterAssignments |
| fctEigengenes | fctEigengenes |
| fctFeaturesAnnotCorrelation | fctFeaturesAnnotCorrelation |
| fctHierarchicalCluster | fctHierarchicalCluster |
| fctiModMix2SE | fctiModMix2SE |
| fctLoadData | fctLoadData |
| fctModulesCorrelation | fctModulesCorrelation |
| fctPartialCors | fctPartialCors |
| fctPerformClassification | fctPerformClassification |
| Run the Shiny Application | run_app |
