SIMBA-GNN:用于微生物组预测的机械图形学习

Javad Aminian-Dehkordi1, Mohammad Parsa1, Andrew Dickson1

  • 1Molecular Cell Biomechanics Laboratory, Departments of Bioengineering and Mechanical Engineering, University of California, Berkeley, CA, USA.

PubMed
概括

新型图形神经网络SIMBA通过将代谢模拟与图形变换器集成来预测肠道微生物社区的组成. 这种方法模拟了物种间的相互作用,以更深入地了解微生物组的组装.

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