Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk

Name: Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk
Creator: Falah Awwad
Published: 2025-12-08T11:30:27.703Z
Keywords: Food Science, Bioinformatics, Machine Learning, Metabolomics, Deep Learning

Awwad, Falah; Al-Sumaidaee, Ghassan

doi:10.17632/mw3btc924p.1

Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk

Published: 8 December 2025| Version 1 | DOI: 10.17632/mw3btc924p.1

Contributors:

Falah Awwad, Ghassan Al-Sumaidaee

Description

This repository contains the complete Python codebase used in the manuscript titled "Predicting Functional Bioactivities in Fermented Milk Using Deep Learning on LC-MS Metabolomics". The code implements a deep learning model (1D-CNN) to predict nine bioactivity outcomes from LC-MS QTOF metabolomic profiles of fermented camel and bovine milk samples.

Code for Deep Learning Model Predicting Bioactivity from LC-MS Metabolomic Data of Fermented Milk

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