典型文献
Metabolite-Disease Association Prediction Algorithm Combining DeepWalk and Random Forest
文献摘要：
Identifying the association between metabolites and diseases will help us understand the pathogenesis of diseases,which has great significance in diagnosing and treating diseases.However,traditional biometric methods are time consuming and expensive.Accordingly,we propose a new metabolite-disease association prediction algorithm based on DeepWalk and random forest (DWRF),which consists of the following key steps:First,the semantic similarity and information entropy similarity of diseases are integrated as the final disease similarity.Similarly,molecular fingerprint similarity and information entropy similarity of metabolites are integrated as the final metabolite similarity.Then,DeepWalk is used to extract metabolite features based on the network of metabolite-gene associations.Finally,a random forest algorithm is employed to infer metabolite-disease associations.The experimental results show that DWRF has good performances in terms of the area under the curve value,leave-one-out cross-validation,and five-fold cross-validation.Case studies also indicate that DWRF has a reliable performance in metabolite-disease association prediction.
文献关键词：
中图分类号：
作者姓名：
Jiaojiao Tie;Xiujuan Lei;Yi Pan
作者机构：
School of Computer Science,Shaanxi Normal University,Xi'an 710119,China;Department of Computer Science,Georgia State University,Atlanta,GA 30302-3994,USA
文献出处：
引用格式：
[1]Jiaojiao Tie;Xiujuan Lei;Yi Pan-.Metabolite-Disease Association Prediction Algorithm Combining DeepWalk and Random Forest)[J].清华大学学报自然科学版（英文版）,2022(01):58-67
A类：
DWRF
B类：
Metabolite,Disease,Association,Prediction,Algorithm,Combining,DeepWalk,Random,Forest,Identifying,between,metabolites,diseases,will,help,understand,pathogenesis,which,has,great,significance,diagnosing,treating,However,traditional,biometric,methods,consuming,expensive,Accordingly,propose,new,prediction,algorithm,random,forest,consists,following,key,steps,First,semantic,similarity,information,entropy,integrated,final,Similarly,molecular,fingerprint,Then,used,extract,features,network,associations,Finally,employed,infer,experimental,results,show,that,good,performances,terms,area,curve,value,leave,one,out,cross,validation,five,fold,Case,studies,also,indicate,reliable
AB值：
0.535612
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