Acknowledgement. This research is supported by the National Natural Science Foundation of China (61532008), the National Key Research and Development Program of China (2017YFC0909502) and the Self-determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE (No. CCNU17TS0003).
This research is supported by the National Natural Science Foundation of China (61532008), the National Key Research and Development Program of China (2017YFC0909502) and the Self-determined Research Funds of CCNU from the Colleges’ Basic Research and Operation of MOE (No. CCNU17TS0003).
机构署名：
本校为第一且通讯机构
院系归属：
计算机学院
摘要：
An increasing number of clinical observations have confirmed that the microbes inhabiting in human body have critical impacts on the progression of human disease, which provides promising insights into understanding the mechanism of diseases. However, the known microbe-disease associations remain limited. So, we proposed Bi-Random Walk based on Multiple Path (BiRWMP) to predict microbe-disease associations. Leave-one-out cross-validation (LOOCV) and 5-fold cross-validation were adopted to demonstrate the capability of proposed method. BiRWMP pe...
