Other packages > Find by keyword >

MMINP  

Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor
View on CRAN: Click here


Download and install MMINP package within the R console
Install from CRAN:
install.packages("MMINP")

Install from Github:
library("remotes")
install_github("cran/MMINP")

Install by package version:
library("remotes")
install_version("MMINP", "0.1.0")



Attach the package and use:
library("MMINP")
Maintained by
Wenli Tang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-07-04
Latest Update: 2022-07-04
Description:
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.
How to cite:
Wenli Tang (2022). MMINP: Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor. R package version 0.1.0, https://cran.r-project.org/web/packages/MMINP. Accessed 05 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MMINP R package
View MMINP citation profile
Other R packages that MMINP depends, imports, suggests or enhances
Complete documentation for MMINP
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA