Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data

Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data

Advances in metagenomics have revolutionized our ability to elucidate links between the microbiome and human diseases. Colorectal cancer (CRC), a leading cause of cancer-related mortality worldwide, has been associated with dysbiosis of the gut microbiome. This study aims to develop a method for ide...

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Bibliographic Details
Main Authors: Burcu Bakir-Gungor, Nur Sebnem Ersoz, Malik Yousef
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Applied Sciences
Subjects:
metagenomic analysis of colorectal cancer
machine learning
feature grouping
functional profiling of metagenomes
community-level enzyme commission (EC) abundances
Online Access:https://www.mdpi.com/2076-3417/15/6/2940
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