Building synthetic networks of the budding yeast cell-cycle using swarm intelligence

Gonzalo A. Ruz, Tania Timmermann, Eric Goles

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

13 Citas (Scopus)

Resumen

A swarm intelligence technique called the bees algorithm is formulated to build synthetic networks of the budding yeast cell-cycle. The resulting networks contain the original fixed points of the budding yeast cell-cycle network plus additional fixed points to reduce the basin size of the fixed point associated to the G1 phase of the cell-cycle, with the purpose of promoting cell proliferation for biotechnological applications. One thousand synthetic networks were found using the bees algorithm, 84.5% had basins size for the G1 fixed point less or equal to 10, whereas the original model has a basin size for that fixed point of 1764. One of the synthetic networks was analyzed by a biologist concluding that the resulting model was quite consistent from a biological point of view, supporting the proposed method as a tool for biologist to construct synthetic networks with desired characteristics.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Páginas120-125
Número de páginas6
DOI
EstadoPublicada - 2012
Evento11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012 - Boca Raton, FL, Estados Unidos
Duración: 12 dic. 201215 dic. 2012

Serie de la publicación

NombreProceedings - 2012 11th International Conference on Machine Learning and Applications, ICMLA 2012
Volumen1

Conferencia

Conferencia11th IEEE International Conference on Machine Learning and Applications, ICMLA 2012
País/TerritorioEstados Unidos
CiudadBoca Raton, FL
Período12/12/1215/12/12

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