Author: Hu, Le-Le; Chen, Chen; Huang, Tao; Cai, Yu-Dong; Chou, Kuo-Chen
Title: Predicting Biological Functions of Compounds Based on Chemical-Chemical Interactions Document date: 2011_12_29
ID: 0mn1gbll_16
Snippet: Suppose the training dataset contains n compounds, which are denoted as fC 1 ,C 2 ,:::,C n g. The 11 metabolic pathway classes (cf. Table 1 ) are expressed as fP 1 ,P 2 ,:::,P 11 g, where P 1 represents the 1 st metabolic pathway class (''Carbohydrate Metabolism''), P 2 the 2 nd metabolic pathway class (''Energy Metabolism''), P 3 the 3 rd metabolic pathway class (''Lipid Metabolism''), and so forth. Thus, the descriptor of metabolic pathway clas.....
Document: Suppose the training dataset contains n compounds, which are denoted as fC 1 ,C 2 ,:::,C n g. The 11 metabolic pathway classes (cf. Table 1 ) are expressed as fP 1 ,P 2 ,:::,P 11 g, where P 1 represents the 1 st metabolic pathway class (''Carbohydrate Metabolism''), P 2 the 2 nd metabolic pathway class (''Energy Metabolism''), P 3 the 3 rd metabolic pathway class (''Lipid Metabolism''), and so forth. Thus, the descriptor of metabolic pathway classes to which the compound C i belongs to can be formulated as P(C i )~½p i,1 ,p i,2 ,:::,p i,j ,:::,p i,11 T (i~1,2,:::,n; j~1,2,::
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