Biological entities are involved in intricate and complex interactions, in which uncovering the
biological information from the network concepts are of great significance. Benefiting from …

Transcription regulation networks control the expression of genes. The transcription
networks of well-studied microorganisms appear to be made up of a small set of recurring …

Networks composed of distinct, densely connected subsystems are called modular. In
ecology, it has been posited that a modular organization of species interactions would …

Praise for the first edition:… superb, beautifully written and organized work that takes an
engineering approach to systems biology. Alon provides nicely written appendices to …

Background Many technological, biological, social, and information networks fall into the
broad class of 'small-world'networks: they have tightly interconnected clusters of nodes, and …

We consider feature representation learning problem of molecular graphs. Graph Neural
Networks have been widely used in feature representation learning of molecular graphs …

Robustness is characterized by the invariant expression of a phenotype in the face of a
genetic and/or environmental perturbation. Although phenotypic variance is a central …

Motivation Clustering analysis in a biological network is to group biological entities into
functional modules, thus providing valuable insight into the understanding of complex …

The interaction of distinct units in physical, social, biological and technological systems
naturally gives rise to complex network structures. Networks have constantly been in the …

Recent developments in single‐cell transcriptomics have opened new opportunities for
studying dynamic processes in immunology in a high throughput and unbiased manner …