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Table 1 The semantics and statistics of adjacency matrixes

From: Predicting drug target interactions using meta-path-based semantic network analysis

Index Semantics From Number of Rows To Number of Colums Counta
A1 has ChEBI type compound 258030 ChEBI type 2777 14633
A2 binds to compound 258030 protein 22056 528831
A3 has part compound 258030 substructure 290 6127
A4 induced by adverse side effect 1051 compound 258030 9004
A5 treated by disease 1284 compound 258030 927
A6 interacts with protein 22056 protein 22056 72773
A7 has GO annotation protein 22056 GO annotation 9710 89688
A8 caused by disease 1284 protein 22056 2676
A9 has participants pathway 192 protein 22056 10796
A10 expresses tissue 507 protein 22056 9905
A11 similar to compound 258030 compound 258030 6184722
A12 similar to protein 22056 protein 22056 261158
  1. aThe number of non-zero elements in adjacency matrix