PTBGRP:通过在微生物异质信息网络上的图形表示学习来预测菌-细菌相互作用

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Author Spotlight: Investigating Bacteriophage-Induced Immune Responses in Gnotobiotic Mice
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Jie Pan1, Zhuhong You2, Wencai You1

  • 1Key Laboratory of Resources Biology and Biotechnology in Western China, Ministry of Education, Provincial Key Laboratory of Biotechnology of Shaanxi Province, the College of Life Sciences, Northwest University, Xi'an 710069, China.

Briefings in bioinformatics
|September 24, 2023
PubMed
概括

我们开发了PTBGRP,这是一种新的计算模型,集成微生物网络来预测用于治疗细菌感染的菌体 (菌体). 这种方法通过考虑菌体-细菌相互作用中的更高阶连接模式来提高准确性.

关键词:
图表表示学习学习学习图表表示学习微生物异质相互作用网络的微生物.菌细菌的相互作用

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