疾病
鉴定(生物学)
联想(心理学)
异构网络
优先次序
计算机科学
机制(生物学)
计算生物学
医学
生物
生态学
心理学
工程类
哲学
病理
认识论
管理科学
心理治疗师
无线
无线网络
电信
作者
Xin Shen,Yao Chen,Xingpeng Jiang,Xiaohua Hu,Tingting He,Jincai Yang
标识
DOI:10.1109/bibm.2016.7822619
摘要
The microbiota living in the human body plays a very important role in our health and disease, so the identification of microbes associated with diseases will contribute to improving medical care and to better understanding of microbe functions, interactions. However, the known associations between the diseases and microbes are very less. We proposed a new method for prioritization of candidate microbes to predict disease-microbe relationships that based on the random walking on the heterogeneous network. Here, we first constructed a heterogeneous network by connecting the disease network and microbe network using the disease-microbe relationship information, then extended the random walk to the heterogeneous network, finally we used leave-one-out cross-validation to evaluate the method and ranked the candidate disease-causing microbes. We used the algorithm to disclose some potential association between disease and microbe that cannot be found by microbe network or disease network alone. Furthermore, we studied three representative diseases, Type 2 diabetes, Asthma and Psoriasis, and presented the potential microbes associated with these diseases, respectively. We confirmed that the discovery of the associations will be a good clinical solution for disease mechanism understanding, diagnosis and therapy.
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