The 1st International Workshop on Algorithms, Tools and new Frontiers on the use of Networks in Biology and Clinical Science (BioNet 2017) is an international forum on the latest technologies and research in the field of Biological Networks.Living organisms are described by highly complex biological networks which entail the huge number of interactions among molecules, genes and proteins in biological functions and pathways. At a broader level, biological networks are used to represent correlations, extracted from clinical datasets, among diseases, mutations, patients and any kind of clinical or biological feature (e.g. SNPs, treatments, diagnoses, costs). Other uses of biological networks comprise: executable models, neural network computational graphs, connectome graphs. These networks try to mimic the brain for the implementation of machine learining computational tools or represent expression levels of different areas of the brain to explain how it works. Biological networks can represent the state of a set of features in a particular moment, but they can also describe the spatio-temporal distribution of biological and clinical events.
Papers primarily based on (but not limited to) the following topics are welcome: (Topics include but not limited to)