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Table 4 The properties of detected driver nodes with Liu’s method, Gao’s method, and our method in Pancreatic cancer network

From: A novel algorithm for finding optimal driver nodes to target control complex networks and its applications for drug targets identification

Method

Pancreatic cancer network

Inflammatory bowel disease network

f1

f2

f1

f2

Liu [6]

4.0952

0.0596

39.0208

0.0806

Gao [8]

0.8750

0.0748

0.7917

0.1316

Our method

0.4702

0.4302

0.1875

0.5506

  1. The columns represent the following information per disease network: Different methods, the fraction of the quantity of drivers vs. the target nodes (f1), the fraction of the driver nodes within drug target nodes in FDA vs. the quantity of driver nodes (f2)