https://github.com/barbarahelena/helius-metabolomics-fmet

Formylmethionine project

https://github.com/barbarahelena/helius-metabolomics-fmet

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
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  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (7.3%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

Formylmethionine project

Basic Info
  • Host: GitHub
  • Owner: barbarahelena
  • Language: R
  • Default Branch: main
  • Size: 33.2 KB
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Created over 3 years ago · Last pushed about 1 year ago
Metadata Files
Readme

README.md

HELIUS metabolomics - fMet project

Introduction

This repository describes the analyses for the HELIUS metabolomics / fMet project.

Overview scripts

  1. Data cleaning HELIUS data
  2. Descriptives (table 1)
  3. Machine learning (XGBoost) models: creating model input tables, running models
  4. Processing ML results: top predictors and explained variance
  5. Linear regression models: all subjects and stratified for ethnicity
  6. Correlations between fMet and nitric oxide pathway metabolites
  7. Dietary intake analysis
  8. ETANASH: effect gut microbiota on fMet levels (before and after antibiotics)
  9. Validation cohorts: forest plots of results from validation cohorts

Assets folder

In this folder, you can find a functions file (predominantly used for the processing of ML results), a conda yaml for the XGBoost ML environment, and an instruction for setting up the XGBoost env.

Reference to paper

This paper is unpublished. A reference will follow when the paper can be found online.

Owner

  • Name: Barbara Verhaar
  • Login: barbarahelena
  • Kind: user
  • Location: Amsterdam

PhD candidate @ Amsterdam UMC Vascular medicine

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