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lilikoi
View on CRAN: Click
here
Download and install lilikoi package within the R console
Install from CRAN:
install.packages("lilikoi")
Install from Github:
library("remotes")
install_github("cran/lilikoi") Install by package version:
library("remotes")
install_version("lilikoi", "2.1.1") Attach the package and use:
library("lilikoi")
Maintained by
Lana Garmire
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-30
Latest Update: 2022-10-05
Description:
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 Jeff Xia Travers Ching, Xun Zhu, Lana X. Garmire (2018) .
How to cite:
Lana Garmire (2018). lilikoi: Metabolomics Personalized Pathway Analysis Tool. R package version 2.1.1, https://cran.r-project.org/web/packages/lilikoi. Accessed 13 Aug. 2026.
Previous versions and publish date:
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Complete documentation for lilikoi
Functions, R codes and Examples using
the lilikoi R package
Some associated functions: lilikoi.KEGGplot . lilikoi.Loaddata . lilikoi.MetaTOpathway . lilikoi.PDSfun . lilikoi.explr . lilikoi.featuresSelection . lilikoi.machine_learning . lilikoi.meta_path . lilikoi.preproc_knn . lilikoi.preproc_norm . lilikoi.prognosis .
Some associated R codes: lilikoi.KEGGplot.R . lilikoi.explr.R . lilikoi.globals.R . lilikoi.meta_path.R . lilikoi.preproc_knn.R . lilikoi.preproc_norm.R . lilikoi.prognosis.R . Full lilikoi package functions and examples
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