Editorial: Topical Collection on Emergent Dynamics of Biological Networks

This special issue 'Emergent properties of biological networks' celebrates the growing and vibrant international community of researchers working on questions in the area of cellular and tissue-level biological physics. Networks are a common way to represent biological systems ranging from sub-cellular protein signaling to the entire ecosystem, elucidating the crosstalk among different interacting entities. Recent advances in highthroughput cellular measurement technologies, cost-effective next-generation sequencing, and development of new computational methods (including algorithmic, statistical, graph theoretical concepts, machine learning, and many artificial intelligence-based techniques) have truly revolutionized the investigation of biological networks by uncovering and predicting emergent phenomena that have great implications in both biology and medicine.