Precision of tissue patterning is controlled by dynamical properties of gene regulatory networks
Development, 2019 During development, gene regulatory networks allocate cell fates by partitioning tissues into spatially organised domains of gene expression. How the sharp boundaries that delineate these gene expression patterns arise, despite the stochasticity ...
Katherine Exelby +7 more
semanticscholar +1 more source
Enhanced construction of gene regulatory networks using hub gene information
BMC Bioinformatics, 2017 Gene regulatory networks reveal how genes work together to carry out their biological functions. Reconstructions of gene networks from gene expression data greatly facilitate our understanding of underlying biological mechanisms and provide new ...
Donghyeon Yu +4 more
semanticscholar +1 more source
Noise control in gene regulatory networks with negative feedback
, 2016 Genes and proteins regulate cellular functions through complex circuits of biochemical reactions. Fluctuations in the components of these regulatory networks result in noise that invariably corrupts the signal, possibly compromising function.
Hinczewski, Michael, Thirumalai, D.
core +1 more source
Artificial Gene Regulatory Networks—A Review
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).
Sylvain Cussat-Blanc +2 more
semanticscholar +1 more source
Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks
, 2014 Networks are a unifying framework for modeling complex systems and network inference problems are frequently encountered in many fields. Here, I develop and apply a generative approach to network inference (RCweb) for the case when the network is sparse ...
Slavov, Nikolai
core +2 more sources
An integrative approach for building personalized gene regulatory networks for precision medicine
Genome Medicine, 2018 Only a small fraction of patients respond to the drug prescribed to treat their disease, which means that most are at risk of unnecessary exposure to side effects through ineffective drugs.
M. V. D. van der Wijst +4 more
semanticscholar +1 more source
A Posterior Probability Approach for Gene Regulatory Network Inference in Genetic Perturbation Data
, 2016 Inferring gene regulatory networks is an important problem in systems biology. However, these networks can be hard to infer from experimental data because of the inherent variability in biological data as well as the large number of genes involved.
Raftery, Adrian E. +2 more
core +1 more source
Failed "nonaccelerating" models of prokaryote gene regulatory networks
, 2004 Much current network analysis is predicated on the assumption that important biological networks will either possess scale free or exponential statistics which are independent of network size allowing unconstrained network growth over time. In this paper,
Gagen, M. J., Mattick, J. S.
core
On the basic computational structure of gene regulatory networks
, 2009 Gene regulatory networks constitute the first layer of the cellular computation for cell adaptation and surveillance. In these webs, a set of causal relations is built up from thousands of interactions between transcription factors and their target genes.
Albert +65 more
core +1 more source
Fluctuations in Gene Regulatory Networks as Gaussian Colored Noise
, 2009 The study of fluctuations in gene regulatory networks is extended to the case of Gaussian colored noise. Firstly, the solution of the corresponding Langevin equation with colored noise is expressed in terms of an Ito integral.
Alon U. +9 more
core +1 more source