Deep learning predicts microbial interactions from self-organized spatiotemporal patterns

Deep learning predicts microbial interactions from self-organized spatiotemporal patterns

Microbial communities organize into spatial patterns that are largely governed by interspecies interactions. This phenomenon is an important metric for understanding community functional dynamics, yet the use of spatial patterns for predicting microbial interactions is currently lacking. Here we pro...

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Bibliographic Details
Main Authors: Joon-Yong Lee, Natalie C. Sadler, Robert G. Egbert, Christopher R. Anderton, Kirsten S. Hofmockel, Janet K. Jansson, Hyun-Seob Song
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Machine learning
Agent-based modeling
Soil microbiomes
Microscopy imaging technology
Network inference
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037020302865

Internet

http://www.sciencedirect.com/science/article/pii/S2001037020302865

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