Deep learning in microbiome analysis: a comprehensive review of neural network models

Deep learning in microbiome analysis: a comprehensive review of neural network models

Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) methods. These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data,...

Full description

Saved in:
Bibliographic Details
Main Authors: Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Marcus Frohme, Alina Nechyporenko
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Microbiology
Subjects:
microbiome
deep learning
classification
natural language processing
clustering
Online Access:https://www.frontiersin.org/articles/10.3389/fmicb.2024.1516667/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items