Package: lilikoi 2.1.1
lilikoi: Metabolomics Personalized Pathway Analysis Tool
A comprehensive analysis tool for metabolomics data. It consists a variety of functional modules, including several new modules: a pre-processing module for normalization and imputation, an exploratory data analysis module for dimension reduction and source of variation analysis, a classification module with the new deep-learning method and other machine-learning methods, a prognosis module with cox-PH and neural-network based Cox-nnet methods, and pathway analysis module to visualize the pathway and interpret metabolite-pathway relationships. References: H. Paul Benton <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R> Travers Ching, Xun Zhu, Lana X. Garmire (2018) <doi:10.1371/journal.pcbi.1006076>.
Authors:
lilikoi_2.1.1.tar.gz
lilikoi_2.1.1.tar.gz(r-4.7-any)lilikoi_2.1.1.tar.gz(r-4.6-any)
lilikoi_2.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lilikoi/json (API)
NEWS
| # Install 'lilikoi' in R: |
| install.packages('lilikoi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:1caf63620a. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 353 | ||
| source / vignettes | OK | 363 | ||
| linux-release-x86_64 | OK | 341 | ||
| wasm-release | OK | 242 |
Exports:lilikoi.explrlilikoi.featuresSelectionlilikoi.KEGGplotlilikoi.Loaddatalilikoi.machine_learninglilikoi.meta_pathlilikoi.MetaTOpathwaylilikoi.PDSfunlilikoi.preproc_knnlilikoi.preproc_normlilikoi.prognosis
Dependencies:abindAnnotationDbiaskpassbackportsbase64encbase64urlBiobaseBiocGenericsBiostringsbitbit64bitopsblobbootbroomcachemcarcarDatacaretcaToolsclasscliclockclustercodetoolscolorspacecommonmarkcorpcorcorrplotcowplotcpp11crayoncurldata.tableDBIDerivdiagramdigestdoBydoParalleldoSNOWdplyre1071evaluateexactRankTestsfarverfastmapforeachforecastFormulafracdifffsfuturefuture.applygbmgenericsggplot2ggpubrggrepelggsciggsignifggtextglmnetglobalsgluegowergplotsgraphgridExtragridtextgtablegtoolsh2ohardhatherehtmltoolshttrimputeinfotheoipredIRangesIRdisplayIRkernelisobanditeratorsjpegjsonliteKEGGgraphKEGGRESTKernSmoothlabelinglatticelavalifecyclelimmalistenvlitedownlme4lmtestlubridateM3CmagrittrmarkdownMASSMatrixmatrixcalcMatrixModelsmaxstatmemoiseMetricsmgcvmicrobenchmarkmimeminqaMLmetricsModelMetricsmodelrmvtnormnlmenloptrnnetnumDerivopensslorg.Hs.eg.dbparallellypathviewpbdZMQpbkrtestpillarpkgconfigplyrpngpolynompreprocessCoreprincurvepROCprodlimprogressrproxypurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppTOMLRCurlRCy3Rdpackrecipesreformulasreprreshapereshape2reticulateRgraphvizrJavaRJSONIOrlangROCRrpartrprojrootRSpectraRSQLiterstatixRtsneRWekaRWekajarsS4VectorsS7scalesSeqinfoshapesnowSparseMsparsevctrsSQUAREMstatmodstringistringrsurvivalsurvminersystibbletidyrtidyselecttimechangetimeDatetzdbumapurcautf8uuidvctrsviridisLitewithrxfunXMLxml2XVectorzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Exploratory analysis | lilikoi.explr |
| A featuresSelection Function | lilikoi.featuresSelection |
| lilikoi.KEGGplot | lilikoi.KEGGplot |
| A Loaddata Function | lilikoi.Loaddata |
| A machine learning Function | lilikoi.machine_learning |
| Metabolite-pathway regression | lilikoi.meta_path |
| A MetaTOpathway Function | lilikoi.MetaTOpathway |
| A PDSfun Function | lilikoi.PDSfun |
| An imputation function. | lilikoi.preproc_knn |
| A Normalization function. | lilikoi.preproc_norm |
| Pathway-based prognosis model | lilikoi.prognosis |
