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Gene regulatory network

A gene (or genetic) regulatory network (GRN) is a collection of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins which, in turn, determine the function of the cell. GRNs also play a central role in morphogenesis, the creation of body structures, which is…

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Overview

Structure and evolution

Bacterial regulatory networks

Modelling

Advanced semantic analysis

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Map overview Semantic statistics

Gene regulatory network

Nodes92
Edges91
Triples101
Avg. degree1.98
Density0.021739
Components1

How this topic connects Entity context

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Gene regulatory network

Top relations

related to External links · 32
Gene regulatory network → Analysis PlatformOpen, Application, Arabidopsis, Archived, Artificial Evolution, BIOREL, Cardiac Function, Cardiology, Computing, Engineered Gene NetworksTutorial, Evolving Biological Clocks, Gaussian, Genetic Algorithms, Genetic Regulatory Networks, Genetic Regulatory NetworksBEN, GGMsA, GRN, Heuristic Gene Regulatory Networks, Inference, Information
related to overview · 13
Gene regulatory network → At, DNA, Edges, GRNs, In, Nodes, Others, RNAs, Some, Still, The, These, To
related to Global feature · 12
Gene regulatory network → Caenorhabditis, Gene, Hippo, Recent, Recently, Such, The, The Drosophila Hippo, The Hippo, There, This, Thus
related to Local feature · 11
Gene regulatory network → Another, As, Following, For, Network, Several, Similarly, The, This, Wnt, Xenopus
related to Prediction · 10
Gene regulatory network → Also, Being, Boolean, DREAM, For, Other, Some, The, This, Using
related to Continuous networks · 9
Gene regulatory network → Boolean, Continuous, Formally, Genes, GRNs, However, Nodes, The, This
related to Multiple sclerosis · 6
Gene regulatory network → Gene, GRN, PPMS, RRMS, SPMS, There

Important terminology Word statistics

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Important terminology

gene network networks regulatory cell genes proteins model nodes transcription expression protein grns time process system one may also functions

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
transcription factorsinstance ofwith input being proteins0.80text
and outputs being the level of gene expressioninstance ofwith input being proteins0.80text
gene deletionsinstance ofGenetic perturbations0.80text
gene over-expressioninstance ofGenetic perturbations0.80text
insertionsinstance ofGenetic perturbations0.80text
frame shift mutations can also be modeled as well.The GRN is created from a graph with the desired topologyinstance ofGenetic perturbations0.80text
imposing in-degreeinstance ofGenetic perturbations0.80text
out-degree distributionsinstance ofGenetic perturbations0.80text
Gene regulatory networkrelated to Continuous networksContinuous0.60section
Gene regulatory networkrelated to Continuous networksGRNs0.60section
Gene regulatory networkrelated to Continuous networksBoolean0.60section
Gene regulatory networkrelated to Continuous networksNodes0.60section

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