Revealing General Patterns of Microbiomes That Transcend Systems: Potential and Challenges of Deep Transfer Learning-Reference-Cited by-同舟云学术

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

Published:2022-02-22 Issue:1 Volume:7 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

David Maude M.¹²^ORCID,Tataru Christine¹,Pope Quintin³,Baker Lydia J.¹,English Mary K.¹,Epstein Hannah E.¹,Hammer Austin¹,Kent Michael¹,Sieler Michael J.¹,Mueller Ryan S.¹^ORCID,Sharpton Thomas J.¹⁴,Tomas Fiona⁵,Vega Thurber Rebecca¹,Fern Xiaoli Z.³

Affiliation:

1. Department of Microbiology, Oregon State University, Corvallis, Oregon, USA

2. Department of Pharmaceutical Sciences, Oregon State University, Corvallis, Oregon, USA

3. School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon, USA

4. Department of Statistics, Oregon State University, Corvallis, Oregon, USA

5. Instituto Mediterráneo de Estudios Avanzados, IMEDEA, Esporles, Balearic Islands, Spain

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.

Funder

National Science Foundation

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

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

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