On approximate stochastic control in genetic regulatory networks

Article Properties
Cite
Faryabi, B., et al. “On Approximate Stochastic Control in Genetic Regulatory Networks”. IET Systems Biology, vol. 1, no. 6, 2007, pp. 361-8, https://doi.org/10.1049/iet-syb:20070015.
Faryabi, B., Dougherty, E., & Datta, A. (2007). On approximate stochastic control in genetic regulatory networks. IET Systems Biology, 1(6), 361-368. https://doi.org/10.1049/iet-syb:20070015
Faryabi B, Dougherty E, Datta A. On approximate stochastic control in genetic regulatory networks. IET Systems Biology. 2007;1(6):361-8.
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Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
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Biology (General)
Cytology
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Chemistry
Organic chemistry
Biochemistry
Citations
Title Journal Journal Categories Citations Publication Date
Fixed Point Preserving Model Reduction of Boolean Networks Focusing on Complement and Absorption Laws IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2023
Optimal Control of Probabilistic Boolean Networks: An Information-Theoretic Approach IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2021
Policy Iteration Approach to the Infinite Horizon Average Optimal Control of Probabilistic Boolean Networks IEEE Transactions on Neural Networks and Learning Systems
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
3 2021
A framework to shift basins of attraction of gene regulatory networks through batch reinforcement learning Artificial Intelligence in Medicine
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Medicine (General): Medical technology
  • Medicine: Medicine (General)
2020
Double Deep-Q Learning-Based Output Tracking of Probabilistic Boolean Control Networks IEEE Access
  • Technology: Electrical engineering. Electronics. Nuclear engineering
  • Science: Science (General): Cybernetics: Information theory
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Telecommunication
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
2020
Citations Analysis
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics 15 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Intervention in Gene Regulatory Networks via a Stationary Mean-First-Passage-Time Control Policy and was published in 2008. The most recent citation comes from a 2023 study titled Fixed Point Preserving Model Reduction of Boolean Networks Focusing on Complement and Absorption Laws. This article reached its peak citation in 2019, with 5 citations. It has been cited in 24 different journals, 8% of which are open access. Among related journals, the IEEE Transactions on Neural Networks and Learning Systems cited this research the most, with 3 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year