Results 11 to 20 of about 474,387 (314)
Quantum gene regulatory networks
npj Quantum Information, 2022 AbstractIn this work, we present a quantum circuit model for inferring gene regulatory networks (GRNs) from single-cell transcriptomic data. The model employs qubit entanglement to simulate interactions between genes, resulting in competitive performance and promising potential for further exploration.
Cristhian Roman-Vicharra, James J. Cai
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Gene regulatory networks [PDF]
Proceedings of the National Academy of Sciences, 2005 The Special Feature on gene regulatory networks in this issue of PNAS highlights an emerging field in the biosciences: gene regulatory networks that control animal development. The complex control systems underlying development have probably been evolving for more than a billion years.
Eric, Davidson, Michael, Levin
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Logic of gene regulatory networks [PDF]
Current Opinion in Biotechnology, 2007 Regulatory networks of transcription factors and signaling molecules lie at the heart of development. Their architecture implements logic functions whose execution propels cells from one regulatory state to the next, thus driving development forward.
Materna, Stefan C., Davidson, Eric H.
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Synchrony in Gene Regulatory Networks
Physica D: Nonlinear phenomena, 2021 We consider two mathematical dynamical models of gene regulatory networks (GRNs) and obtain results on robust synchronization on these dynamical models based on the existing theoretical results in the coupled cell network formalism. We also explore the concepts of quotient networks and network lifting in the context of GRNs which are related to the ...
Aguiar, Manuela A. D. +2 more
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Introduction to gene regulatory networks [PDF]
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2015 Gene regulatory networks are a central mechanism in the regulation of gene expression in all living organisms? cells. Their functioning is nowadays very well understood: they are based on the production of proteins enhanced or inhibited by other proteins inside and outside the cells. This produces a complex dynamics with which, with the exact same DNA,
Sylvain Cussat-Blanc, Wolfgang Banzhaf
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Gene-centered regulatory networks [PDF]
Briefings in Functional Genomics, 2009 Differential gene expression plays a critical role in the development and physiology of multicellular organisms. At a 'systems level' (e.g. at the level of a tissue, organ or whole organism), this process can be studied using gene regulatory network (GRN) models that capture physical and regulatory interactions between genes and their regulators.
Arda, H. Efsun, Walhout, Albertha J M
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Gene regulatory networks for development [PDF]
Proceedings of the National Academy of Sciences, 2005 The genomic program for development operates primarily by the regulated expression of genes encoding transcription factors and components of cell signaling pathways. This program is executed by cis-regulatory DNAs (e.g., enhancers and silencers) that control gene expression.
Levine, Michael, Davidson, Eric H.
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Supervised Learning of Gene Regulatory Networks [PDF]
Current Protocols in Plant Biology, 2020 AbstractIdentifying the entirety of gene regulatory interactions in a biological system offers the possibility to determine the key molecular factors that affect important traits on the level of cells, tissues, and whole organisms. Despite the development of experimental approaches and technologies for identification of direct binding of transcription ...
Razaghi-Moghadam, Zahra +1 more
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Stochastic neural network models for gene regulatory networks [PDF]
, 2003 Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises the possibility for a functional understanding of genome dynamics by means of mathematical modelling.
Burrage K. +3 more
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Artificial Gene Regulatory Networks—A Review [PDF]
Artificial Life, 2019 In nature, gene regulatory networks are a key mediator between the information stored in the DNA of living organisms (their genotype) and the structural and behavioral expression this finds in their bodies, surviving in the world (their phenotype). They integrate environmental signals, steer development, buffer stochasticity, and allow evolution to ...
Cussat-Blanc, Sylvain +2 more
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