Community detection in graphsA book on community search algorithms in graphs, paying special attention to the methods developed by statistical physicists. Discussion of the importance of clustering, testing and comparison of different methods. Examples of applications to real networks.
GNEA neural network algorithm for aggregation of various representations of genes and their expressions, and their mapping into the embedding space. Useful for comparison of different models of gene networks.
DeepHEA neural network method for the prediction of human essential genes. Useful for metabolic network reduction and isolation of its critical subnet.