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pro vyhledávání: '"Poyatos, Juan F"'
Autor:
Poyatos, Juan F
Complexity in biology is often described using a multi-map architecture, where the genotype, representing the encoded information, is mapped to the functional level, known as the phenotype, which is then connected to a latent phenotype we refer to as
Externí odkaz:
http://arxiv.org/abs/2307.10251
Akademický článek
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Autor:
Rodrigo, Guillermo, Poyatos, Juan F.
Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show instead how su
Externí odkaz:
http://arxiv.org/abs/1602.07082
Publikováno v:
In iScience 23 July 2021 24(7)
Autor:
Yubero, Pablo, Poyatos, Juan F.
Publikováno v:
In iScience 24 April 2020 23(4)
Akademický článek
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Autor:
Bajić, Djordje, Poyatos, Juan F.
Publikováno v:
BMC Genomics. 2012 Jul 27;13(1):343
Coupling the control of expression stochasticity (noise) to the ability of expression change (plasticity) can alter gene function and influence adaptation. A number of factors, such as transcription re-initiation, strong chromatin regulation or genom
Externí odkaz:
http://arxiv.org/abs/1209.2278
Autor:
Cavaliere, Matteo, Poyatos, Juan F.
In the commons, communities whose growth depends on public goods, individuals often rely on surprisingly simple strategies, or heuristics, to decide whether to contribute to the common good (at risk of exploitation by free-riders). Although this appe
Externí odkaz:
http://arxiv.org/abs/1209.1927
A procedure to enhance the quantum--classical correspondence even in situations far from the classical limit is proposed. It is based on controlling the quantum transport between classical regions using the capability to synthesize arbitrary motional
Externí odkaz:
http://arxiv.org/abs/quant-ph/9904019
Autor:
Poyatos, Juan F.1,2 (AUTHOR) jpoyatos@cnb.csic.es
Publikováno v:
PLoS Computational Biology. 9/14/2020, Vol. 16 Issue 9, p1-15. 15p. 2 Diagrams, 2 Graphs.