Results 251 to 260 of about 789,865 (294)

Dynamic gene regulatory network inference from single-cell data using optimal transport. [PDF]

open access: yesBioinformatics
Lamoline F   +4 more
europepmc   +1 more source

The Engineering of Gene Regulatory Networks

Annual Review of Biomedical Engineering, 2003
▪ Abstract  The rapid accumulation of genetic information and advancement of experimental techniques have opened a new frontier in biomedical engineering. With the availability of well-characterized components from natural gene networks, the stage has been set for the engineering of artificial gene regulatory networks with sophisticated computational ...
Mads, Kaern   +2 more
openaire   +2 more sources

Noise in Gene Regulatory Networks

IEEE Transactions on Automatic Control, 2008
Life processes in single cells and at the molecular level are inherently stochastic. Quantifying the noise is, however, far from trivial, as a major contribution comes from intrinsic fluctuations, arising from the randomness in the times between discrete jumps.
Ioannis Lestas   +3 more
openaire   +1 more source

Modeling of Hysteresis in Gene Regulatory Networks

Bulletin of Mathematical Biology, 2012
Hysteresis, observed in many gene regulatory networks, has a pivotal impact on biological systems, which enhances the robustness of cell functions. In this paper, a general model is proposed to describe the hysteretic gene regulatory network by combining the hysteresis component and the transient dynamics.
Hu, J., Qin, K.R., Xiang, C., Lee, T.H.
openaire   +2 more sources

Switching Gene Regulatory Networks

2015
A fundamental question in biology is how cells change into specific cell types with unique roles throughout development. This process can be viewed as a program prescribing the system dynamics, governed by a network of genetic interactions. Recent experimental evidence suggests that these networks are not fixed but rather change their topology as cells
Yoli Shavit   +5 more
openaire   +1 more source

Visualization of Gene Regulatory Networks

2009
Networks are a useful visualization tool for representing many types of biological data such as gene regulations. In this paper, We will present a novel graph drawing technique for visualizing gene regulatory networks. This technique is based on drawing the shortest paths between genes of interest using breadth-first-search algorithm.
Muhieddine El Kaissi   +4 more
openaire   +1 more source

Identification of Minimum Set of Master Regulatory Genes in Gene Regulatory Networks

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020
Identification of master regulatory genes is one of the primary challenges in systems biology. The minimum dominating set problem is a powerful paradigm in analyzing such complex networks. In these models, genes stand as nodes and their interactions are assumed as edges. Here, members of a minimal dominating set could be regarded as master genes.
Somayeh Bakhteh   +2 more
openaire   +2 more sources

Estimation of Gene Regulatory Networks

Postdoc Journal, 2013
Complex gene regulatory networks, not individual genes, control cellular function. Genes and gene products act together to determine cellular phenotypes. Estimation of these networks is necessary to understand cellular mechanisms, detect differences in gene regulation between cell types, and predict cellular response to interventions.
openaire   +2 more sources

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