README.md

In YuLab-SMU/MMINP: Microbe-Metabolite Interactions-Based Metabolic Profiles Predictor

MMINP (Microbe-Metabolite INteractions-based metabolic profiles Predictor)

Introduction

MMINP is a computational framework to predict microbial community-based metabolic profiles with O2-PLS 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.

Installation

Get the released version from CRAN (https://cran.r-project.org/package=MMINP):

install.packages("MMINP")

Or the development version from GitHub (https://github.com/YuLab-SMU/MMINP):

## install.packages("remotes")
remotes::install_github("YuLab-SMU/MMINP")

Example

```{r warning=FALSE, echo=TRUE, results='hide', message=FALSE}

library(MMINP) library(dplyr)

data: train_metab, train_metag

set.seed(1234) predS <- rownames(train_metab) %>% sample(nrow(train_metab)/3) trainS <- setdiff(rownames(train_metab), predS) tb <- train_metab[trainS, ] tg <- train_metag[trainS, ] pb <- train_metab[predS, ] pg <- train_metag[predS, ]

data preprocessing

a <- MMINP.preprocess(tg, normalized = FALSE, prev = 0.1, abund = 0.00001, transformed = 'boxcox', scaled = T) b <- MMINP.preprocess(tb, normalized = FALSE, prev = 0.1, abund = 0.00001, transformed = 'boxcox', scaled = T)

training model

mminpmodel <- MMINP.train(metag = a, metab = b, n = 3:5, nx = 0:3, ny = 0:3, nr_folds = 2, nr_cores = 2) mminpmodel

under the development version:

mminpmodel$WFM #well-fitted metabolites

under the released version:

mminpmodel$trainres$wellPredicted #well-fitted metabolites

predicting

d <- MMINP.preprocess(pg, normalized = FALSE, transformed = 'boxcox', scaled = T) pred <- MMINP.predict(mminpmodel, d, minGeneSize = 0.8)

comparison between predicted and measured values

res <- compareFeatures(pred, pb) res$wellPredicted %>% length() #number of well-predicted metabolites ```

YuLab-SMU/MMINP documentation built on March 27, 2023, 7:40 a.m.