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-4.5-noble)lilikoi_2.1.1.tar.gz(r-4.4-noble)
lilikoi_2.1.1.tgz(r-4.4-emscripten)lilikoi_2.1.1.tgz(r-4.3-emscripten)
lilikoi.pdf |lilikoi.html✨
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 2 years agofrom:1caf63620a. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 07 2024 |
R-4.5-linux | OK | Dec 07 2024 |
Exports:lilikoi.explrlilikoi.featuresSelectionlilikoi.KEGGplotlilikoi.Loaddatalilikoi.machine_learninglilikoi.meta_pathlilikoi.MetaTOpathwaylilikoi.PDSfunlilikoi.preproc_knnlilikoi.preproc_normlilikoi.prognosis
Dependencies:abindAnnotationDbiaskpassbackportsbase64encbase64urlBiobaseBiocGenericsBiostringsbitbit64bitopsblobbootbroomcachemcarcarDatacaretcaToolsclasscliclockclustercodetoolscolorspacecommonmarkcorpcorcorrplotcowplotcpp11crayoncurldata.tableDBIDerivdiagramdigestdoBydoParalleldoSNOWdplyre1071evaluateexactRankTestsfansifarverfastmapforeachFormulafsfuturefuture.applygbmgenericsGenomeInfoDbGenomeInfoDbDataggplot2ggpubrggrepelggsciggsignifggtextglmnetglobalsgluegowergplotsgraphgridExtragridtextgtablegtoolsh2ohardhatherehighrhtmltoolshttrimputeinfotheoipredIRangesIRdisplayIRkernelisobanditeratorsjpegjsonliteKEGGgraphKEGGRESTKernSmoothkm.ciKMsurvknitrlabelinglatticelavalifecyclelimmalistenvlme4lubridateM3CmagrittrmarkdownMASSMatrixmatrixcalcMatrixModelsmaxstatmemoiseMetricsmgcvmicrobenchmarkmimeminqaMLmetricsModelMetricsmodelrmunsellmvtnormnlmenloptrnnetnumDerivopensslorg.Hs.eg.dbparallellypathviewpbdZMQpbkrtestpillarpkgconfigplogrplyrpngpolynompreprocessCoreprincurvepROCprodlimprogressrproxypurrrquantregR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLRCurlRCy3recipesreprreshapereshape2reticulateRgraphvizrJavaRJSONIOrlangROCRrpartrprojrootRSpectraRSQLiterstatixRtsneRWekaRWekajarsS4VectorsscalesshapesnowSparseMSQUAREMstatmodstringistringrsurvivalsurvminersurvMiscsystibbletidyrtidyselecttimechangetimeDatetzdbUCSC.utilsumaputf8uuidvctrsviridisLitewithrxfunXMLxml2xtableXVectoryamlzlibbioczoo
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 |