reviewFrontiers in MicrobiologyJan 22, 2025GOLD OA

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

PPPiotr PrzymusKRKrzysztof RykaczewskiAMAdrián Martín‐SeguraJTJaak TruuECEnrique Carrillo de Santa Pau

Nicolaus Copernicus University · IMDEA Food · +7 more institutions

PubMed
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Abstract

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, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in…

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43
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Authors

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Topics & keywords

Topics
Keywords
  • Microbiome
  • Deep learning
  • Computer science
  • Artificial intelligence
  • Data science
  • Machine learning
  • Field (mathematics)
  • Human microbiome
UN Sustainable Development Goals
  • Life in Land
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