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 [aut, cre], Guangchuang Yu [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 |
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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