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...
Enregistré dans:
Auteurs principaux: | Clare E Giacomantonio, Geoffrey J Goodhill |
---|---|
Format: | article |
Langue: | EN |
Publié: |
Public Library of Science (PLoS)
2010
|
Sujets: | |
Accès en ligne: | https://doaj.org/article/b40d307bf96643bfa9d3db15aa72b1e8 |
Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
-
Majority rules with random tie-breaking in Boolean gene regulatory networks.
par: Claudine Chaouiya, et autres
Publié: (2013) -
Scalable steady state analysis of Boolean biological regulatory networks.
par: Ferhat Ay, et autres
Publié: (2009) -
The basis of easy controllability in Boolean networks
par: Enrico Borriello, et autres
Publié: (2021) -
Boolean network model predicts knockout mutant phenotypes of fission yeast.
par: Maria I Davidich, et autres
Publié: (2013) -
Boolean network model for cancer pathways: predicting carcinogenesis and targeted therapy outcomes.
par: Herman F Fumiã, et autres
Publié: (2013)