A Boolean model of the gene regulatory network underlying Mammalian cortical area development.
The cerebral cortex is divided into many functionally distinct areas. The emergence of these areas during neural development is dependent on the expression patterns of several genes. Along the anterior-posterior axis, gradients of Fgf8, Emx2, Pax6, Coup-tfi, and Sp8 play a particularly strong role i...
Guardado en:
Autores principales: | Clare E Giacomantonio, Geoffrey J Goodhill |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2010
|
Materias: | |
Acceso en línea: | https://doaj.org/article/b40d307bf96643bfa9d3db15aa72b1e8 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Majority rules with random tie-breaking in Boolean gene regulatory networks.
por: Claudine Chaouiya, et al.
Publicado: (2013) -
Scalable steady state analysis of Boolean biological regulatory networks.
por: Ferhat Ay, et al.
Publicado: (2009) -
The basis of easy controllability in Boolean networks
por: Enrico Borriello, et al.
Publicado: (2021) -
Boolean network model predicts knockout mutant phenotypes of fission yeast.
por: Maria I Davidich, et al.
Publicado: (2013) -
Boolean network model for cancer pathways: predicting carcinogenesis and targeted therapy outcomes.
por: Herman F Fumiã, et al.
Publicado: (2013)