boolean networks造句

例句与造句

1. Continuous network models of GRNs are an extension of the boolean networks described above.
2. He proposed the Probabilistic Boolean Network ( PBN ) model for gene regulatory networks.
3. He has also studied the effect of redundancy and modularity on random Boolean networks.
4. In 1967 and 1969 Kauffman proposed applying models of random boolean networks to simplified genetic circuits.
5. During his MSc studies, Gershenson proposed a naming convention for random Boolean networks depending on their updating scheme.
6. It's difficult to find boolean networks in a sentence. 用boolean networks造句挺难的
7. Several other promising modeling techniques have been used, including Boolean networks, Petri nets, Bayesian networks, graphical Gaussian models, Stochastic, and Process Calculi.
8. For example, Boolean networks have been used due to their simplicity and ability to handle noisy data but lose data information by having a binary representation of the genes.
9. The first Boolean networks were proposed by Stuart A . Kauffman in 1969, as random models of genetic regulatory networks but their mathematical understanding only started in the 2000's.
10. The work of Carlos Gershenson has been related to the understanding and popularization of topics of complex systems, in particular, related to Boolean networks, self-organization and traffic control.
11. A partial validation of a Boolean network model can also come from testing the predicted existence of a yet unknown regulatory connection between two particular transcription factors that each are nodes of the model.
12. For example, Random Boolean networks are examples of function stochastic GDS using a synchronous update scheme and where the state space is " K " = { 0, 1 }.
13. A "'random Boolean network "'( RBN ) is one that is randomly selected from the set of all possible boolean networks of a particular size, " N ".
14. A "'random Boolean network "'( RBN ) is one that is randomly selected from the set of all possible boolean networks of a particular size, " N ".
15. Harvey and Bossomaier ( 1997 ) pointed out that stochastic updating in random boolean networks results in the expression of point attractors only : there is no repeatable cyclic behaviour, although they introduced the concept of loose cyclic attractors.
16. The node itself can also be viewed as a function which can be obtained by combining basic functions upon the inputs ( in the Boolean network described below these are Boolean functions, typically AND, OR, and NOT ).
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