Package: MMINP 0.1.1
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.
Authors:
MMINP_0.1.1.tar.gz
MMINP_0.1.1.zip(r-4.5)MMINP_0.1.1.zip(r-4.4)MMINP_0.1.1.zip(r-4.3)
MMINP_0.1.1.tgz(r-4.4-any)MMINP_0.1.1.tgz(r-4.3-any)
MMINP_0.1.1.tar.gz(r-4.5-noble)MMINP_0.1.1.tar.gz(r-4.4-noble)
MMINP_0.1.1.tgz(r-4.4-emscripten)MMINP_0.1.1.tgz(r-4.3-emscripten)
MMINP.pdf |MMINP.html✨
MMINP/json (API)
# Install 'MMINP' in R: |
install.packages('MMINP', repos = c('https://yulab-smu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/yulab-smu/mminp/issues
- MMINP_trained_model - (Data) A MMINP model
- test_metab - (Data) Normalized metabolite abundances for MMINP prediction
- test_metag - (Data) Normalized gene family abundances for MMINP prediction
- train_metab - (Data) Normalized metabolite abundances for MMINP training
- train_metag - (Data) Normalized gene family abundances for MMINP training
metabolite-predictionmetabolitesmicrobes
Last updated 2 years agofrom:77359aeb9a. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 06 2024 |
R-4.5-win | OK | Nov 06 2024 |
R-4.5-linux | OK | Nov 06 2024 |
R-4.4-win | OK | Nov 06 2024 |
R-4.4-mac | OK | Nov 06 2024 |
R-4.3-win | OK | Nov 06 2024 |
R-4.3-mac | OK | Nov 06 2024 |
Exports:checkInputdatacompareFeaturesfilterFeaturesget_ComponentsMMINP.predictMMINP.preprocessMMINP.trainO2PLSvip
Dependencies:clicolorspacecurldplyrfansifarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelmtestmagrittrMASSMatrixmgcvmunsellnlmennetOmicsPLSpillarpkgconfigquadprogquantmodR6RColorBrewerRcppRcppArmadillorlangscalessoftImputetibbletidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtszoo