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

Awwad, Falah; Al-Sumaidaee, Ghassan

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.

Citations (0)

Mentions (0)

Metrics

Dataset Index

0.4

FAIR Score

69%

Citations

0

Mentions

0

Metrics Over Time

Publication Details

DOI

Publisher

Mendeley Data

License

Creative Commons Attribution 4.0 International

Assigned Domain

Subfield

Molecular Biology

Field

Biochemistry, Genetics and Molecular Biology

Domain

Life Sciences

Confidence Score

58%

Source

Scholar Data Model

Keywords

Food ScienceBioinformaticsFOS: Computer and information sciencesMachine LearningMetabolomicsDeep Learning

Normalization Factors

FT

53.85

CTw

1.00

MTw

1.00