Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning

Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning

ABSTRACT A growing body of research has established that the microbiome can mediate the dynamics and functional capacities of diverse biological systems. Yet, we understand little about what governs the response of these microbial communities to host or environmental changes. Most efforts to model m...

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Bibliographic Details
Main Authors: Maude M. David, Christine Tataru, Quintin Pope, Lydia J. Baker, Mary K. English, Hannah E. Epstein, Austin Hammer, Michael Kent, Michael J. Sieler, Ryan S. Mueller, Thomas J. Sharpton, Fiona Tomas, Rebecca Vega Thurber, Xiaoli Z. Fern
Format: Article
Language:English
Published: American Society for Microbiology 2022-02-01
Series:mSystems
Subjects:
deep learning
embeddings
machine learning
microbial ecology
Online Access:https://journals.asm.org/doi/10.1128/msystems.01058-21

Internet

https://journals.asm.org/doi/10.1128/msystems.01058-21

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