# CellCount_Nishijima_2024

**Repository Path**: friends_double/CellCount_Nishijima_2024

## Basic Information

- **Project Name**: CellCount_Nishijima_2024
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: main
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2024-11-21
- **Last Updated**: 2024-11-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## CellCount_Nishijima_2024

### Overview
This repository contains the R codes used in Nishijima et al. _Cell_, 2024. The scripts provided include:

1. **Prediction model construction**: R scripts to build prediction models for fecal microbial load (i.e., total microbial cells per gram, or cell density) using the XGBoost algorithm.
2. **Figure generation**: R scripts to produce figures used in the manuscript.

The scripts to construct models utilize species-level taxonomic profiles (mOTUs v2.5) and fecal microbial load from the GALAXY/MicrobLiver (n = 1,894) and MetaCardis (n = 1,812) study populations, located in the `data` folder. Due to restricted access to the Japanese 4D and Estonian Microbiome datasets, codes based on these datasets are provided with HTML outputs generated by Rmarkdown.

### Instructions
To generate figures using R scripts (e.g. Figure_XXXX.R), it is necessary first to construct and validate the prediction models. This can be done by running the following scripts:

1. **Model Construction**: `construct_models.R`
2. **Internal Validation**: `internal_validation.R`
3. **External Validation**: `external_validation.R`
   
**Using Pre-Constructed Models**  
As constructing the models can take several hours or even days, pre-constructed models are available in the `out/model/` directory. If you wish to use these models directly, you may skip `construct_models.R`, and proceed with `internal_validation.R` and `external_validation_of_models.R` to validate and generate the figures.

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[**Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations**](https://www.sciencedirect.com/science/article/pii/S0092867424012042)  

Published in _Cell_, available online 13 November 2024  

Suguru Nishijima, Evelina Stankevic, Oliver Aasmets, Thomas S. B. Schmidt, Naoyoshi Nagata, Marisa Isabell Keller, Pamela Ferretti, Helene Bæk Juel, Anthony Fullam, Shahriyar Mahdi Robbani, Christian Schudoma, Johanne Kragh Hansen, Louise Aas Holm, Mads Israelsen, Robert Schierwagen, Nikolaj Torp, Manimozhiyan Arumugam, Flemming Bendtsen, Charlotte Brøns, Cilius Esmann Fonvig, Jens-Christian Holm, Trine Nielsen, Julie Steen Pedersen, Maja Sofie Thiele, Jonel Trebicka, Elin Org, Aleksander Krag, Torben Hansen, Michael Kuhn, and Peer Bork, on behalf of the GALAXY and MicrobLiver Consortia