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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 |
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 |
Reference manual: | MMINP.pdf |
Vignettes: |
MMINP |
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 |
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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.
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