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>.
Version: 2.1.1 Depends: R (≥ 3.5.0) Imports: car, caret, dplyr, gbm, ggplot2, glmnet, h2o, impute, infotheo, limma, M3C, Metrics, MLmetrics, parallel, princurve, pathview, plyr, preprocessCore, pROC, RCy3, reticulate, reshape, RWeka, scales, stats, stringr, survminer, survival Suggests: knitr, rmarkdown Published: 2022-10-05 DOI: 10.32614/CRAN.package.lilikoi Author: Xinying Fang [aut], Yu Liu [aut], Zhijie Ren [aut], Fadhl Alakwaa [aut], Sijia Huang [aut], Lana Garmire [aut, cre] Maintainer: Lana Garmire <lana.garmire.group at gmail.com> License: GPL-2 NeedsCompilation: no Citation: lilikoi citation info Materials: README, NEWS In views: MissingData, Omics CRAN checks: lilikoi results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=lilikoi to link to this page.
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