Network propagation algorithms typically start with an initial set of seed nodes, which could be genes or proteins known to be associated with cancer. These algorithms then spread the information from the seed nodes across the network, allowing it to reach other nodes based on their connectivity. The final state of the nodes reflects their relevance to the initial set of seeds, highlighting potential new biomarkers or therapeutic targets.
