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Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks (2002)
by
Ilya Shmulevich
,
Edward R. Dougherty
,
Seungchan Kim
,
Wei Zhang
| Citations: | 391 - 60 self |
BibTeX
@MISC{Shmulevich02probabilisticboolean,
author = {Ilya Shmulevich and Edward R. Dougherty and Seungchan Kim and Wei Zhang},
title = {Probabilistic Boolean networks: a rule-based uncertainty model for gene regulatory networks},
year = {2002}
}
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Abstract
Motivation: Our goal is to construct a model for genetic regulatory networks such that the model class: (i ) incorporates rule-based dependencies between genes; (ii ) allows the systematic study of global network dynamics; (iii ) is able to cope with uncertainty, both in the data and the model selection; and (iv ) permits the quantification of the relative influence and sensitivity of genes in their interactions with other genes.
