Network Biology

IF 임팩트 팩터 경향 · 분석 · 계급 · 예측

도입

Network biology is a science that deals with the structure, function, regulation (control), design, and application, etc., of various biological networks. It is an interdisciplinary science based on life sciences (biology, ecology, medicine, etc.), mathematics and systems science (graph theory, network science, complexity theory, etc.), computational science (computation methods, programming), statistics, etc. The goal of this journal is to keep a record of the state-of-the-art research and promote the research work in these fast moving areas. The topics to be covered by Network Biology include, but are not limited to: Theories, algorithms and programs of network analysisEvolution, dynamics, optimization and control of biological networksNetwork construction, link predictionNetwork topology, topological analysis, relationship between topological structure and network functions, sensitivity analysis, network robustness and stabilityNetwork flow analysisDesign and formulation of biological networksEcological networks, food webs and natural equilibrium, co-evolution, co-extinction, biodiversity conservationMetabolic networks, protein-protein interaction networks, biochemical reaction networks, gene networks, transcriptional regulatory networks, cell cycle networks, phylogenetic networks, network motifs and modulesPhysiological networks, social networks, epidemiological networksNetwork regulation of metabolic processes, human diseases and ecological systemsSystem complexity, self-organization, emergence of biological systems, agent-based modeling, neural network modeling, and other network-based modeling, etc.Big data analytics of biological networks