Metabolomics Personalized Pathway Analysis Tool
Overview
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.
Install
Health
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64
r-oldrel-macos-arm64
Packages required but not available: 'M3C', 'RCy3' See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
r-oldrel-macos-x86_64
Package required but not available: ‘pathview’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Lana Garmire <lana.garmire.group@gmail.com>’ Package CITATION file contains call(s) to old-style personList() or as.personList(). Please use c() on person objects instead. Package CITATION file contains call(s) to old-style citEntry(). Please use bibentry() instead.
- ERROR9 OK, 2 NOTE, 2 ERRORNow
- ERROR10 OK, 2 NOTE, 2 ERROR2026-03-10
Documentation
- Help pages
- 11
- Examples that run
- 0%8 only when donttest examples are enabled (R CMD check --as-cran) · 2 hold no code
- Exported functions with examples
- 91%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 9%
- Lilikoi V2.0 HTML
Downloads
Dependencies
Installing lilikoi adds 136 packages (74 with compiled code, 113 MB of source tarballs). Heaviest: stringi 11 MB, RWekajars 9.6 MB, ggplot2 6.0 MB. 6 more not on CRAN are not measured.
Code & Tests
Datasets
People & History
Previously maintained by Fadhl Alakwaa (0.1.0).
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 2.1.1Latest
- unarchivedReturned to CRAN2023-11-12'RCyr3@BioC' was updated to become installable
- archivedRemoved from CRAN2023-11-12issues were not corrected in time
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 2.1.02022-02-22 · diff ↗
- RR 4.1.0 released · 2021-05-18
- 2.0.42021-01-15 · diff ↗
- unarchivedReturned to CRAN2020-11-10
- 2.0.32020-11-10 · diff ↗
- archivedRemoved from CRAN2020-10-22check problems were not corrected in time '\donttest' examples
- 2.0.22020-10-03 · diff ↗
- unarchivedReturned to CRAN2020-08-24
Show 10 earlier eventsHide 10 earlier events
- 2.0.12020-08-24 · diff ↗
- removedRemoved from CRANVersion 2.0.0 has been removed
- archivedRemoved from CRAN2020-07-22policy violation Alleged misrepresentation of authorship and copyright
- unarchivedReturned to CRAN2020-07-03
- 2.0.02020-07-03 · diff ↗ ·
removed 4 exports
lilikoi.adjust_model, lilikoi.get_pd_scores, lilikoi.metab_to_pathway, lilikoi.select_pathwaysadded 10 exports
lilikoi.KEGGplot, lilikoi.Loaddata, lilikoi.MetaTOpathway, lilikoi.PDSfun, lilikoi.explr, lilikoi.featuresSelection, lilikoi.meta_path, lilikoi.preproc_knn, lilikoi.preproc_norm, lilikoi.prognosis - RR 4.0.0 released · 2020-04-24
- archivedRemoved from CRAN2020-04-09check problems were not corrected despite reminders
- RR 3.6.0 released · 2019-04-26
- 0.1.02018-07-30
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-07-30
- Total releases
- 8 / 8 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.5.0
- Download size
- 1.8 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("lilikoi")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1101/2020.07.09.195677, 10.1093/gigascience/giy136.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.