Results 31 to 40 of about 789,865 (294)

Fan-out in gene regulatory networks [PDF]

open access: yesJournal of Biological Engineering, 2010
In synthetic biology, gene regulatory circuits are often constructed by combining smaller circuit components. Connections between components are achieved by transcription factors acting on promoters. If the individual components behave as true modules and certain module interface conditions are satisfied, the function of the composite circuits can in ...
Sauro Herbert M, Kim Kyung H
openaire   +4 more sources

Time-delayed models of gene regulatory networks [PDF]

open access: yes, 2015
We discuss different mathematical models of gene regulatory networks as relevant to the onset and development of cancer. After discussion of alternativemodelling approaches, we use a paradigmatic two-gene network to focus on the role played by time ...
Blyuss, K B   +3 more
core   +4 more sources

Dynamical Criticality in Gene Regulatory Networks [PDF]

open access: yesComplexity, 2018
A well‐known hypothesis, with far‐reaching implications, is that biological evolution should preferentially lead to states that are dynamically critical. In previous papers, we showed that a well‐known model of genetic regulatory networks, namely, that of random Boolean networks, allows one to study in depth the relationship between the dynamical ...
Villani, Marco   +3 more
openaire   +3 more sources

Gene autoregulation via intronic microRNAs and its functions [PDF]

open access: yes, 2012
Background: MicroRNAs, post-transcriptional repressors of gene expression, play a pivotal role in gene regulatory networks. They are involved in core cellular processes and their dysregulation is associated to a broad range of human diseases.
Baroudi, Mariama El   +4 more
core   +2 more sources

GeRNet: a gene regulatory network tool [PDF]

open access: yesBiosystems, 2017
Gene regulatory networks (GRNs) are crucial in every process of life since they govern the majority of the molecular processes. Therefore, the task of assembling these networks is highly important. In particular, the so called model-free approaches have an advantage modeling the complexities of dynamic molecular networks, since most of the gene ...
Julieta Sol Dussaut   +5 more
openaire   +3 more sources

Approximate kernel reconstruction for time-varying networks

open access: yesBioData Mining, 2019
Background Most existing algorithms for modeling and analyzing molecular networks assume a static or time-invariant network topology. Such view, however, does not render the temporal evolution of the underlying biological process as molecular networks ...
Gregory Ditzler   +3 more
doaj   +1 more source

Stochastic neural network models for gene regulatory networks [PDF]

open access: yes, 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., Tian, T.
core   +2 more sources

Understanding Tissue-Specific Gene Regulation

open access: yesCell Reports, 2017
Summary: Although all human tissues carry out common processes, tissues are distinguished by gene expression patterns, implying that distinct regulatory programs control tissue specificity.
Abhijeet Rajendra Sonawane   +9 more
doaj   +1 more source

Variable levels of drift in tunicate cardiopharyngeal gene regulatory elements

open access: yesEvoDevo, 2019
Background Mutations in gene regulatory networks often lead to genetic divergence without impacting gene expression or developmental patterning. The rules governing this process of developmental systems drift, including the variable impact of selective ...
William Colgan   +25 more
doaj   +1 more source

Literature-based priors for gene regulatory networks [PDF]

open access: yes, 2009
Motivation: The use of prior knowledge to improve gene regulatory network modelling has often been proposed. In this paper we present the first research on the massive incorporation of prior knowledge from literature for Bayesian network learning of gene
't Hoen, PAC   +3 more
core   +2 more sources

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