hyunseobsong / csbjDeepLearning

Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns

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Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns

This repository contains codebases and datasets for the publication, entitled "Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns" (link).

System requirements

  • Python >3.6 for deep learning model

Citation

[1] Joon-Yong Lee, et al. (2020),Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns, Computational and Structural Biotechnology Journal, 18, 1259-1269. https://doi.org/10.1016/j.csbj.2020.05.023

Contacts

Hyun-Seob Song (hsong5@unl.edu); Joon-Yong Lee (joonyong.lee@pnnl.gov)

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Deep Learning Predicts Microbial Interactions from Self-organized Spatiotemporal Patterns


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