BiOFI: Feature Identification Between Metabolome and Microbiome in Disease and Health

A strategy that provides the identification of metabolome and microbiome (Bi-omics) feature. It is able to screen out key/driving features (metabolites, microbes, and pathway functions) by an integrated importance score (IIS),combining sub-scores derived from difference, correlation, abundance, and network analysis. It is able to identify microbe-function-metabolite chains and to rank association pairs within specific functions.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: dplyr, Hmisc, ggplot2, ggrepel, htmlwidgets, igraph, magrittr, networkD3, tidyverse, visNetwork, ppcor
Published: 2022-09-22
Author: Tianlu Chen [aut, cre]
Maintainer: Tianlu Chen <chentianlu at sjtu.edu.cn>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: BiOFI results

Documentation:

Reference manual: BiOFI.pdf

Downloads:

Package source: BiOFI_0.1.0.tar.gz
Windows binaries: r-devel: BiOFI_0.1.0.zip, r-release: BiOFI_0.1.0.zip, r-oldrel: BiOFI_0.1.0.zip
macOS binaries: r-release (arm64): BiOFI_0.1.0.tgz, r-oldrel (arm64): BiOFI_0.1.0.tgz, r-release (x86_64): BiOFI_0.1.0.tgz, r-oldrel (x86_64): BiOFI_0.1.0.tgz

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