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MMINP: Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor

Implements a computational framework to predict microbial community-based metabolic profiles with 'O2PLS' model. It provides procedures of model training and prediction. Paired microbiome and metabolome data are needed for modeling, and the trained model can be applied to predict metabolites of analogous environments using new microbial feature abundances.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: magrittr (≥ 2.0.1), OmicsPLS (≥ 2.0.2), utils, stats
Suggests: rmarkdown, knitr, prettydoc, testthat (≥ 3.0.0)
Published: 2022-07-04
DOI: 10.32614/CRAN.package.MMINP
Author: Wenli Tang ORCID iD [aut, cre], Guangchuang Yu ORCID iD [aut, ths]
Maintainer: Wenli Tang <1071429394 at qq.com>
BugReports: https://github.com/YuLab-SMU/MMINP/issues
License: GPL (≥ 3.0)
URL: https://github.com/YuLab-SMU/MMINP
NeedsCompilation: no
Materials: README
CRAN checks: MMINP results

Documentation:

Reference manual: MMINP.pdf
Vignettes: MMINP

Downloads:

Package source: MMINP_0.1.0.tar.gz
Windows binaries: r-devel: MMINP_0.1.0.zip, r-release: MMINP_0.1.0.zip, r-oldrel: MMINP_0.1.0.zip
macOS binaries: r-release (arm64): MMINP_0.1.0.tgz, r-oldrel (arm64): MMINP_0.1.0.tgz, r-release (x86_64): MMINP_0.1.0.tgz, r-oldrel (x86_64): MMINP_0.1.0.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.