Results 251 to 260 of about 8,545,689 (298)

CaHoT-GRN: context-aware high-order topology learning for robust single-cell gene regulatory network inference. [PDF]

Brief Bioinform
Yao D, Zhang B, Zhan X, Wang W, Liang N.
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TRENDY: gene regulatory network inference enhanced by transformer. [PDF]

Bioinformatics
Tian X, Patel Y, Wang Y.
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Dissecting the enhancer gene regulatory network in early Drosophila spermatogenesis. [PDF]

Nat Commun
van Nierop Y Sanchez P, Sekhar PS, Yildirim K, Lange T, Kreplin LZ, Boopathy VM, Rosswag de Souza S, Dammer K, Ibberson D, Wang Q, Domsch K, Stokkermans A, Pandey S, Kaspar P, Martinez-Gallegos R, Gao X, Singh A, Engel N, Port F, Boutros M, Bageritz J, Lohmann I.   +21 more
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Improved gene regulatory network inference from single cell data with dropout augmentation. [PDF]

PLoS Comput Biol
Zhu H, Slonim DK.
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Correction to: Critical assessment of the ability of Boolean threshold models to describe gene regulatory network dynamics. [PDF]

PNAS Nexus
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Comparative gene regulatory network mapping of Brassicaceae members with differential drought tolerance

Pandiarajan R, Lin C, Sauer M, Rothballer ST, Marin-de la Rosa N, Schwehn P, Papadopoulou E, Mairhörmann B, Falter-Braun P.   +8 more
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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, William J, Blake, J J, Collins   +2 more
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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, Johan Paulsson, Nicholas E. Ross, Glenn Vinnicombe   +3 more
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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, Boyan Yordanov, Sara-Jane Dunn, Christoph M. Wintersteiger, Youssef Hamadi, Hillel Kugler   +5 more
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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.
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