… This subnetwork was characterized by high average clustering coefficient, high node
degree, and small average shortest path length (Table 2). In other words, the subnetwork was …

… shortest path lengths between DTG nodes and other five types of PDRG nodes, respectively.
More specifically, the average and minimum lengths of the shortest paths … the shortest path …

… Hepatocellular carcinoma (HCC) is the most prevalent primary liver cancer and a leading
cause of cancer-related deaths worldwide. Ninety percent of HCC cases arise from cirrhosis, …

… Identification of hepatocellular carcinoma related genes with k-th shortest paths in a
proteinprotein interaction network. Mol BioSyst 2013; 9: 2720-8. [24] Hornberg JJ, Bruggeman FJ, …

… of chronic liver disease, cirrhosis and hepatocellular carcinoma (HCC). The resolution or …
The average shortest path length of node n is the average length of a shortest path between …

… To ensure that the emerging model is able to simulate both liver regeneration after drug-induced
central liver lobule damage and early states of hepatocellular carcinoma, we …

… Hepatocellular carcinoma (HCC) is a globally prevailing cancer with a low 5-year survival
rate. Little is known about its intricate gene expression profile. Single-cell RNA sequencing is …

… In addition, the method we propose has better accuracy than other previously defined “shortest
path” network-based algorithms, with advantages of overcoming “noise” and “incomplete” …

… Hepatocellular carcinoma (HCC) is the most common liver malignancy and is one of the
leading causes of death worldwide. Its incidence has been especially prevalent among Asian …

… this object its network characteristics such as shortest path length were analyzed (the third
step … in the integrated network, using a shortest path information generated by igraph. Finally, …