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On the impact of discreteness and abstractions on modelling noise in gene regulatory networks.
Chiara Bodei
Luca Bortolussi
Davide Chiarugi
Maria Luisa Guerriero
Alberto Policriti
Alessandro Romanel
Published in:
Comput. Biol. Chem. (2015)
Keyphrases
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gene regulatory networks
gene regulatory
network model
reverse engineering
gene expression data
gene networks
boolean networks
regulatory networks
biological data
bayesian inference
structure learning
data sets
microarray data
high throughput
input data
software engineering
probabilistic model
prior knowledge