Artículo
Modeling Logic Gene Networks by Means of Probabilistic Dynamic P Systems
Autor/es | Valencia Cabrera, Luis
García Quismondo, Manuel Pérez Jiménez, Mario de Jesús Su, Yansen Yu, Hui Pan, Linqiang |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2013 |
Fecha de depósito | 2021-04-26 |
Publicado en |
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Resumen | Gene regulatory networks are useful models for biologists to understand
the interactions among genes in living organisms. In this work, we
consider a special class of gene regulatory networks, called logical
networks, ... Gene regulatory networks are useful models for biologists to understand the interactions among genes in living organisms. In this work, we consider a special class of gene regulatory networks, called logical networks, where the “links” among genes are inferred by logic analysis of phylogenetic profiles. We provide a formalization of logic networks, and introduce a membrane computing model for reconstructing logical networks and reproducing their dynamics. An example logical network is simulated by using software P-Lingua and MeCoSim. The simulation result shows that membrane computing is a versatile framework for modeling different biological scenarios. |
Agencias financiadoras | Ministerio de Ciencia e Innovación (MICIN). España Junta de Andalucía |
Identificador del proyecto | TIN2012-37434
P08-TIC-04200 |
Cita | Valencia Cabrera, L., García Quismondo, M., Pérez Jiménez, M.d.J., Su, Y., Yu, H. y Pan, L. (2013). Modeling Logic Gene Networks by Means of Probabilistic Dynamic P Systems. International Journal of Unconventional Computing, 9 (5-6), 445-464. |
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