Figure 2a Distribution of average network-based proximity (PQAB) between a query disease module (Q) and drug modules (A and B).

This dataset contains the network-based proximity between 1,488 drug modules and six disease modules. This is a 6637968 rows by 5 columns matrix. You can load this data by R using "load" function. Run "Scripto_for_Figure2a.R" for making figure 2a in the manuscript.Drug_A: KEGG drug ID of one of the drug pairs (Drug A)Drug_B: KEGG drug ID of the other of the drug pairs (Drug B)variable: disease namevalue: the network-based proximity between Drug A and Drug BIF: if the drug combination is effective on the disease. "ALL" means No, "posi" means yes

本数据集包含1488个药物模块与6个疾病模块之间基于网络的邻近度数据。该数据集为6637968行×5列的矩阵。可通过R语言的`load`函数加载该数据集。运行`Scripto_for_Figure2a.R`即可复现论文中的图2a。
各字段说明如下：
Drug_A：药物对中其一（即Drug A）的KEGG药物标识符（KEGG drug ID）
Drug_B：药物对中其二（即Drug B）的KEGG药物标识符
variable：疾病名称
value：药物A与药物B之间基于网络的邻近度
IF：用于表征该药物联合疗法对对应疾病是否有效，其中"ALL"代表无效，"posi"代表有效