What Techniques are Used for Community Detection in Cancer Networks?
Several techniques are employed to detect communities within cancer-related networks, including:
1. Modularity-based Methods: These methods, such as the Louvain algorithm, maximize the modularity score to find communities. 2. Spectral Clustering: This technique uses the eigenvalues of the similarity matrix to partition the network into communities. 3. Hierarchical Clustering: This approach builds a hierarchy of clusters by iteratively merging or splitting existing clusters. 4. Clique Percolation: This method finds overlapping communities by identifying cliques (fully connected subgraphs) that share nodes.
