Deep Integrated Network Analysis – a data-driven tool to discover and characterize disease pathways in the liver

General description:Supplementary information belonging to the study "Deep Integrated Network Analysis – a tool to discover and characterize disease pathways in the liver". Files: 1) Supplementary Figure 1 _ TLN .pdfContains the Tree-and-Leaf (TLN) network on which the leaves have been classified according to Gene Ontology Biological Processes. 2) Supplementary Table 1 _ Datasets.xlsx Contains the list of datasets included in Liver DINA Resource. For each dataset the GEO series, title, taxonomy, and liver sample count are shown, as well as the classification of dataset condition. 3) Supplementary Table 2 _ Top1000 subset _gene interaction networks.xlsx Contains the results from the analysis of the 1,000 gene-gene interactions with the highest statistical weight in the Liver DINA Resource. 4) Supplementary Table 3_ TLN modules.xlsx Contrains the classification of the leafs in the Liver DINA Resource Tree-and-Leaf Network (TLN).总体说明：本研究《深度整合网络分析——一种用于发现并表征肝脏疾病通路的工具》的补充资料。 文件列表： 1) 补充图1_TLN.pdf：包含树叶网络（Tree-and-Leaf Network, TLN），该网络的叶节点已依据基因本体生物过程（Gene Ontology Biological Processes）完成分类。 2) 补充表1_数据集清单.xlsx：收录了肝脏DINA资源所纳入的全部数据集。每份数据集的GEO系列号、标题、分类学信息、肝脏样本数量，以及数据集的条件分类均已列明。 3) 补充表2_前1000个基因互作网络子集.xlsx：收录了肝脏DINA资源中统计权重最高的1000组基因-基因互作分析结果。 4) 补充表3_TLN模块.xlsx：收录了肝脏DINA资源树叶网络（TLN）中叶节点的分类信息。