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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)
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
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
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
Academic field
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive
Network_science
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
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
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
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 molecules for computations
In networks-based biocomputation, self-propelled biological agents, such as molecular motor proteins or bacteria, explore a microscopic network that
Biological_computing
notable individuals who research complex networks, including social networks, biological networks, and semantic networks, among others. Individuals are categorized
List_of_network_scientists
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
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
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
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
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
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)
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
using network topology and network dynamics towards identifying diseases and developing medical drugs. Biological networks, such as protein-protein interactions
Network_medicine
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
Pathogen that can be weaponized
of mass destruction to non-state actors. Biological hazard Biological contamination Laboratory Response Network Pulsed ultraviolet light
Biological_agent
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
Computational model used in machine learning
neural network (NN) or artificial neural network (ANN) is a computational model inspired by the structure and functions of biological neural networks. A neural
Neural network (machine learning)
Neural_network_(machine_learning)
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
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
were applied to biological networks to identify groups (or clusters) of topologically similar nodes in a network and predict biological properties of yet
Graphlets
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
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
environment for the analysis of time-series data in the context of biological networks. Systrip gathers bioinformatics and graph theoretical algorithms
Systrip
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
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
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
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
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
Application of computer science in 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
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
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
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
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
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
Research field
network dynamics, see sequential dynamical system. Biological network inference Cellular neural network Dual-phase evolution Dynamic Bayesian network
Network_dynamics
(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
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
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
computational biology, the problem is used for network alignment, which identifies mappings between biological networks to unravel common patterns. Applications
Maximum_common_edge_subgraph
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
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
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
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
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
Aspect of an artificial neural network
term is typically used in artificial and biological neural network research. In a computational neural network, a vector or set of inputs x {\displaystyle
Synaptic_weight
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
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
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
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
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
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
Science of classifying organisms
study of naming, defining (circumscribing) and classifying groups of biological organisms based on shared characteristics. Modern approaches prioritize
Taxonomy_(biology)
cluster synchronization and functional organization in complex networks, especially in biological and dynamical systems. Unlike global symmetries defined by
Fibration_symmetry
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
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
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
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
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
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
Computing network of nanomachines, at nanoscale
Nano Communication Networks (Elsevier) Journal A simulation tool for nanoscale biological networks – Elsevier presentation NanoNetworking Research Group (NRG)
Nanonetwork
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
net/publication/259350461_Partitioning_Biological_Networks_into_Highly_Connected_Clusters_with_Maximum_Edge_Coverage Partitioning Biological Networks into Highly Connected
HCS_clustering_algorithm
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
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
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
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
German physicist (born 1963)
the Technical University of Darmstadt where her group researches biological networks, theoretical ecology and the foundations of statistical physics.
Barbara_Drossel
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)
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
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
The modern concept of biological warfare involves the use of biological agents, of which there are pathogens, typically bacteria or viruses, and toxins
History_of_biological_warfare
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
Group of spatially dispersed and dedicated sensors
Yakubu (2009). "Cross layer based biological inspired self-organized routing protocol for wireless sensor network". TENCON 2009 - 2009 IEEE Region 10
Wireless_sensor_network
Mathematics professor
research concerns the probability theory and statistics of biological sequences and biological networks. Reinert has also been associated with the M. Lothaire
Gesine_Reinert
into two approaches: one focused on biological processes, while the other focused on the application of neural networks to artificial intelligence.[citation
History of artificial neural networks
History_of_artificial_neural_networks
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
Computer composed of organic material
associative memory networks also provided a foundation for biological information systems with fault tolerance and self-organization. Biological wetware systems
Wetware_computer
Caregiver of offspring in their own species
in medicine, it is possible to have more than two biological parents. Examples of third biological parents include instances involving surrogacy or a
Parent
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
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
Computational methods in biology
used to harmonize information from multiple "omes" to jointly analyze biological phenomena. This approach allows researchers to discover intricate relationships
Single-cell multi-omics integration
Single-cell_multi-omics_integration
Database and analysis software for systems genetics
include technical and biological replicates. Genotypes and phenotypes are usually taken from peer-reviewed papers. GeneNetwork includes annotation files
GeneNetwork
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
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
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
Israeli computer scientist
Golumbic) the notion of trapezoid graphs, and pioneering analysis of biological networks. Pinter was born in Haifa, Israel in 1953 to parents of German Jewish
Ron_Pinter
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
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
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
Aeroplankton Biological network Fonkalsrud, Sindre Interaction Patterns and Specialization in a Local and National Norwegian Pollination Network. University
Pollination_network
neural network can have two meanings: Biological neural networks interacting with artificial neuronal models, and Artificial neural networks with a symbolic
Hybrid_neural_network
Interdisciplinary branch of biology and engineering
scientific field that applies the principles of engineering to develop new biological parts, devices, and systems or to redesign existing systems found in nature
Synthetic_biology
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