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Method of representing systems
A biological network is a method of representing systems as complex sets of binary interactions or relations between various biological entities. In general
Biological_network
Structure in nervous systems
neural network, also called a neuronal network, is an interconnected population of neurons typically containing multiple neural circuits. Biological neural
Neural_network_(biology)
Structure in biology and artificial intelligence
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or mathematical
Neural_network
Type of inference
Biological network inference is the process of making inferences and predictions about biological networks. By using these networks to analyze patterns
Biological_network_inference
Complex network which connects several biologically relevant entities
A biological system is a complex network which connects several biologically relevant entities. Biological organization spans several scales and is determined
Biological_system
Topics referred to by the same term
Flow network, a directed graph where each edge has a capacity and each edge receives a flow Biological network, any network that applies to biological systems
Network
Academic field
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive
Network_science
Study of graphs as a representation of relations between discrete objects
biological networks with respect to diseases has led to the development of the field of network medicine. Recent examples of application of network theory
Network_theory
Network with non-trivial topological features
real-world networks such as computer networks, biological networks, technological networks, brain networks, and social networks. Most social, biological, and
Complex_network
Coordination of events to operate a system in unison
synchronization, as forms of coupling and interaction, underlie biological and physiological network mechanisms through which global states, functions and behaviors
Synchronization
Biological applications of bifurcation theory provide a framework for understanding the behavior of biological networks modeled as dynamical systems.
Biological applications of bifurcation theory
Biological_applications_of_bifurcation_theory
Branch of machine learning
neural networks to perform tasks such as classification, regression, and representation learning. The field takes inspiration from biological neuroscience
Deep_learning
Computational model used in machine learning
neural network (NN) or neural net, is a computational model inspired by the structure and functions of biological neural networks. A neural network consists
Neural network (machine learning)
Neural_network_(machine_learning)
Species introduced by human activity
species are new biota to their environment in terms of established biological network (e.g. food web) relationships. Neobiota can further be divided into
Introduced_species
using network topology and network dynamics towards identifying diseases and developing medical drugs. Biological networks, such as protein-protein interactions
Network_medicine
Type of software
Neural network software is used to simulate, research, develop, and apply artificial neural networks, software concepts adapted from biological neural
Neural_network_software
Biological molecules for computations
Biological computers use biologically derived molecules — such as DNA and/or proteins — to perform digital or real computations. The development of biocomputers
Biological_computing
Pathogen that can be weaponized
of mass destruction to non-state actors. Biological hazard Biological contamination Laboratory Response Network Pulsed ultraviolet light
Biological_agent
Artificial neural network that mimics neurons
the subsequent layer. Although these networks have achieved breakthroughs, they do not match biological networks and do not mimic neurons.[citation needed]
Spiking_neural_network
Measure of network community structure
networks. For example, biological and social patterns, the World Wide Web, metabolic networks, food webs, neural networks and pathological networks are
Modularity_(networks)
(WGCNA), is a widely used data mining method especially for studying biological networks based on pairwise correlations between variables. While it can be
Weighted correlation network analysis
Weighted_correlation_network_analysis
Graph measuring gene relationships
genes rise and fall together across samples. Gene co-expression networks are of biological interest since co-expressed genes are controlled by the same transcriptional
Gene_co-expression_network
Computational analysis of large, complex sets of biological data
more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology. In structural
Bioinformatics
Global health science project
project has mapped approximately 62 million human cells into 18 Biological Networks, which includes cells from vital systems such as the nervous system
Human_Cell_Atlas
Network that allows computers to share resources and communicate with each other
as facilitated by networking hardware. Within a computer network, hosts are identified by network addresses, which allow networking hardware to locate
Computer_network
Computational and mathematical modeling of complex biological systems
to a more profound comprehension of biological processes and interactions. Increasingly, methods such as network analysis, machine learning, and pathway
Systems_biology
Tendency for similar nodes to be connected
assortative mixing, or assortativity. On the other hand, technological and biological networks typically show disassortative mixing, or disassortativity, as high
Assortativity
modelling of biological systems. It involves the use of computer simulations of biological systems, including cellular subsystems (such as the networks of metabolites
Modelling_biological_systems
Network whose degree distribution follows a power law
(Internet, World Wide Web) and biological (protein interaction, metabolism) networks. However, the growth of the networks (adding new nodes) is not a necessary
Scale-free_network
Analysis and representation of complex networks
Compression levels of up to 95% have been obtained for complex biological networks. Hypergraphs are a generalization of graphs in which edges are not
Power_graph_analysis
software tool for analyzing and modeling large biological networks (or graphs); it compares real-world networks against a series of random graph models with
GraphCrunch
Insect behavior
The social networks of colonies of social insects have been extensively studied as model biological networks. Ant social networks have three main types
Insect_social_networks
Use of strategically designed biological weapons
Biological warfare, also known as germ warfare, is the use of biological toxins or infectious agents such as bacteria (bacteriological warfare), viruses
Biological_warfare
notable individuals who research complex networks, including social networks, biological networks, and semantic networks, among others. Individuals are categorized
List_of_network_scientists
Conceptual computation method
be found in biological systems that perform computation on multiple levels. From molecular and cellular information processing networks to ecologies
Biological_computation
Complete set of molecular interactions in a biological cell
interactomes may be described as biological networks, they should not be confused with other networks such as neural networks or food webs. Molecular interactions
Interactome
Graph where most nodes are reachable in a small number of steps
of Networks. Norton, W. W. & Company, Inc. ISBN 978-0-393-32442-6. Dorogovtsev SN, Mendes JF (2003). Evolution of Networks: from biological networks to
Small-world_network
Representation of the biotic interactions in an ecosystem
the effects of spatial heterogeneity. Biological network Consumer-resource systems Food web Pollination network Recycling (ecological) Williams, R.J.;
Ecological_network
Type of sub-graph
Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social
Network_motif
Representation of linear dynamical systems
information, and network reconstruction in biological systems. Yuan, Stan, Warnick, and Gonçalves studied robust dynamical network structure reconstruction
Dynamical_structure_function
links between web pages, but since has been used to model biological and citation networks as well. In 1999 Jon Kleinberg and 3 co-authors published an
Copying_network_models
Material from an organism used for biological research
A biological specimen (also called a biospecimen) is a biological laboratory specimen held by a biorepository for research, education, or diagnostics
Biological_specimen
1). Middendorf-Ziv (MZ) proposed a growing directed graph modeling biological network dynamics. A prototype is chosen at random and duplicated. The prototype
Copying_mechanism
Branch of anthropology that studies the physical development of the human species
Biological anthropology, also known as physical anthropology, is a natural science discipline concerned with the biological and behavioral aspects of
Biological_anthropology
American mathematical biologist
research on biochemical switches in the cell cycle, dynamics of biological networks and on excitable media. Tyson earned a bachelor's degree in chemistry
John_J._Tyson
Mathematical function conceived as a crude model
as a model of a biological neuron in a neural network. The artificial neuron is the elementary unit of an artificial neural network. The design of the
Artificial_neuron
Branch of biology
informatics processes in biological systems, began in the early 1970s. At this time, research in artificial intelligence was using network models of the human
Computational_biology
Parallel computing paradigm
geometric maps, modelling biological vision and other sensory-motor organs. CNN is not to be confused with convolutional neural networks (also colloquially called
Cellular_neural_network
were applied to biological networks to identify groups (or clusters) of topologically similar nodes in a network and predict biological properties of yet
Graphlets
cluster synchronization and functional organization in complex networks, especially in biological and dynamical systems. Unlike global symmetries defined by
Fibration_symmetry
Biodiversity collaboration in the UK
The National Biodiversity Network (UK) (NBN) is a collaborative venture set up in 2000 in the United Kingdom committed to making biodiversity information
National_Biodiversity_Network
computational biology, the problem is used for network alignment, which identifies mappings between biological networks to unravel common patterns. Applications
Maximum_common_edge_subgraph
Series of molecular interactions within a cell that produces some outcome
In cell biology, a biological pathway is a series of molecular interactions among molecules within a cell that leads to a specific product or a change
Biological_pathway
American computer scientist
structure and function prediction, 3D genome structure modeling, biological network construction, and deep learning with applications to big data in biomedical
Jianlin_Cheng
American, Argentina physicist
Networks and Data Science Lab. He is known for contributions to granular matter and packings, complex systems, complex networks, biological networks,
Hernán_A._Makse
Technique in biology for recording presence and distribution of all living organisms
Biological recording is the scientific study of the distribution of living organisms, biological records describe the presence, abundance, associations
Biological_recording
System composed of many interacting components
examples of complex networks include social networks, financial institution interdependencies, airline networks, and biological networks. Lada Adamic Robert
Complex_system
Motion that comes from actions of a biological organism
intentions. The neural network for biological motion is highly sensitive to the observer's prior experience with the action's biological motions, allowing
Biological_motion
Israeli biologist and academic
cited research investigates gene expression, network motifs and the design principles of biological networks in Escherichia coli and other organisms using
Uri_Alon
Type of network
An artificial neural network (ANN) or neural network combines biological principles with advanced statistics to solve problems in domains such as pattern
Mathematics of neural networks in machine learning
Mathematics_of_neural_networks_in_machine_learning
System property
Boolean networks (RBNs). They also show that several well known biological networks such as Arabidopsis thaliana cell-cycle are as expected antifragile
Antifragility
Chinese-Canadian signal processing researcher
statistical signal processing, image fusion, digital video fingerprinting, biological network inference, and deep learning. She is a professor in the Department
Zhen_Jane_Wang
Problem in network theory
social network, predicting co-authorship links in a citation network, and predicting interactions between genes and proteins in a biological network. Link
Link_prediction
neural network can have two meanings: Biological neural networks interacting with artificial neuronal models, and Artificial neural networks with a symbolic
Hybrid_neural_network
graphs are referred as sparse graph. Sparse Network can be found in social, computer and biological networks, as well as, its applications can be found
Sparse_network
1943–1973 military research program
The United States biological weapons program officially began in spring 1943 on orders from U.S. president Franklin D. Roosevelt. Research continued following
United States biological weapons program
United_States_biological_weapons_program
Research field
network dynamics, see sequential dynamical system. Biological network inference Cellular neural network Dual-phase evolution Dynamic Bayesian network
Network_dynamics
Method of modeling the metabolism of cells or microbes
thereof) that balance fluxes within the biological network. The advantage of this approach becomes evident in biological systems which are described by differential
Flux_balance_analysis
environment for the analysis of time-series data in the context of biological networks. Systrip gathers bioinformatics and graph theoretical algorithms
Systrip
Science of classifying organisms
study of naming, defining (circumscribing) and classifying groups of biological organisms based on shared characteristics. Modern approaches prioritize
Taxonomy_(biology)
Use of technical illustration in biology
Biological illustration is the use of technical illustration to visually communicate the structure and specific details of biological subjects of study
Biological_illustration
Effect that organisms have on other organisms
In ecology, a biological interaction is the effect that a pair of organisms living together in a community have on each other. They can be either of the
Biological_interaction
Process in biology
in protein interaction networks. Those authors suggest that similar phenomena is likely to arise in other biological networks and potentially may contribute
Degeneracy_(biology)
Turkish molecular and systems biologist
design strategies of microorganisms, metabolic engineering, and biological networks. She is a professor in the department of chemical engineering at
Betül_Kırdar
American actor (born 1987)
age of 6. Lepley is Italian on his mother's side and Jamaican on his biological father's side. Lepley revealed that he was teased as a child because he
Tyler_Lepley
Malaysian dermatologist and immunologist
others, and in this organisation is co-Vice-Chair and Development Biological Network Coordinator . In 2018 her lab contributed to the discovery of the
Muzlifah_Haniffa
Research Station in Ionian Islands
specifically the biological field station. The station is a member of the Organization of Biological Field Stations and the Global Ecovillage Network. The research
Kalamos Island biological field station
Kalamos_Island_biological_field_station
Fictional propulsion system
drive and warp drive, the spore drive relies on biologically mediated navigation via a "mycelial network", depicted as a separate space outside of normal
Spore_drive
Weapon that can kill many people or cause great damage
A weapon of mass destruction (WMD) is a biological, chemical, radiological, nuclear, or any other weapon that can kill or significantly harm many people
Weapon_of_mass_destruction
Gene that has limited phylogenetic distribution
species. In 2009, an orphan gene was discovered to regulate an internal biological network: the orphan gene, QQS, from Arabidopsis thaliana modifies plant composition
Orphan_gene
Concept in graph theory
belongs to. In the study of networks, such as computer and information networks, social networks and biological networks, a number of different characteristics
Community_structure
Philosophical theory
system properties emerge...the pluralism of causes and effects in biological networks is better addressed by observing, through quantitative measures,
Holism
Arrangement of a communication network
Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. Network topology can be used to define or describe
Network_topology
Probabilistic graphical model
Bayesian Networks (released under the GPLv3) FALCON: Matlab toolbox for contextualization of DBNs models of regulatory networks with biological quantitative
Dynamic_Bayesian_network
Aeroplankton Biological network Fonkalsrud, Sindre Interaction Patterns and Specialization in a Local and National Norwegian Pollination Network. University
Pollination_network
Biological analysis approach
Multiomics, multi-omics, integrative omics, "panomics" or "pan-omics" is a biological analysis approach in which the data consists of multiple "omes", such
Multiomics
Network for communications over distance
A telecommunications network is a group of nodes interconnected by telecommunications links that are used to exchange messages between the nodes. The
Telecommunications_network
Community detection algorithm
clustering Modularity Girvan M. and Newman M. E. J., Community structure in social and biological networks, Proc. Natl. Acad. Sci. USA 99, 7821–7826 (2002)
Girvan–Newman_algorithm
forms a network with eight other scientific facilities. Together with the St. Andrew's Biological Station in New Brunswick, the Pacific Biological Station
Pacific_Biological_Station
Japanese biological and chemical warfare research facility (1936–1945)
the advancement of biological weaponry within the imperial army was commonly referred to as the Ishii Network. The Ishii Network was headquartered at
Unit_731
Carbon capture process in oceans
The biological pump (or marine biological carbon pump) is the ocean's biologically driven sequestration of carbon from the atmosphere and land runoff to
Biological_pump
Biological knowledge graph search platform
Knowledge Network Miner(KnetMiner) is a system of tools used to integrate, search, and visualize biological knowledge graphs (KGs). It is used to search
KnetMiner
studies by Sharma et al. on multi-type biological networks (gene–gene, miRNA–gene, and protein–protein interaction networks) identified control targets in phenotypically
Network_controllability
for the construction of the network involves gathering features that could accurately describe the clinical and biological profile of a patients. In order
Patient_similarity_network
Paradox related to increasing roadway capacity
electrical power grids and biological systems. It has been suggested that, in theory, the improvement of a malfunctioning network could be accomplished by
Braess's_paradox
This is a list of unusual biological names, given to biological inventions and discoveries. One might consider the listed names unusual due to their containing
List of unusual biological names
List_of_unusual_biological_names
Multiple interactions and regulation of life forms with their environment
biological relations, as well as an algebraic topology of the functional organisation of living organisms in terms of their dynamic, complex networks
Living_systems
Large-scale study of proteins
useful in regard to biological networks and systems biology, for example in cell signaling cascades and gene regulatory networks (GRNs, where knowledge
Proteomics
MDI Biological Laboratory scientist and gain real-world research experience. The MDI Biological Laboratory leads the Maine INBRE or IDeA Network for Biomedical
MDI_Biological_Laboratory
Activity fraction of a periodic system
Harris-Warrick, Ronald; Marder, Eve; Silverston, Alan; et al. (eds.). Dynamic biological networks: the stomatogastric nervous system. Massachusetts: MIT Press. pp
Duty_cycle
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