… In the case of cancer, it is genes that play a vital role in the early detection of … by these
genes are extracted from STRINGDB through an API call in the form of a PPI network. These …

… Li et al. proposed a graph-based method for identifying lung cancer-related genes in … a
Dijkstra-based shortest path algorithm in a PPI network to retrieve cancer genes for four cancer …

… cancer, cancer diseases, breast cancer, lung cancer, and … the PPI network and its relevance
to cancer-related processes. … the cancer PPI network, identifying cancer-associated modules…

… on the PPI network in lung cancer, aiming to identify key … modeled the lung cancer
protein-protein interaction network (… .org/) and executing the Dijkstra algorithm. This algorithm was …

… enabled the identification of tumor suppressor genes and … Dijkstra’s greedy algorithm is a
popular algorithm for finding … that are differential among cancer and normal PPI could be a …

… The Dijkstra algorithm served to find the shortest path in the graph G … of the gene is greater
than or equal to 100, we found that the genes obtained by the BIMC gene and the PPI network …

… -to-severe asthma-related DEGs using the PPI network. It also … The PPI network analysis,
among other genes, identified … the lungs are involved in the effects of cystic fibrosis, lung cancer…

… identify hub proteins in breast cancer PPIs, as well as key nodes associated with lung cancer
… /www.boost.org/) and implemented the Dijkstra algorithm. The purpose was to calculate the …

… In this study, the Dijkstra algorithm was implemented with R package “igraph.” A … using
the PPI network, we developed a computational method to search GBS-related genes based …

… We applied our method to the analysis of a lung cancer … a PPI network we may weigh the
edges of the graph using affinity … their Dijkstra distance from such first nodes makes it simple to …