FALCON: a toolbox for the fast contextualization of logical networks
نویسندگان
چکیده
منابع مشابه
FALCON: a toolbox for the fast contextualization of logical networks
Motivation Mathematical modelling of regulatory networks allows for the discovery of knowledge at the system level. However, existing modelling tools are often computation-heavy and do not offer intuitive ways to explore the model, to test hypotheses or to interpret the results biologically. Results We have developed a computational approach to contextualize logical models of regulatory netwo...
متن کاملSystems biology FALCON: a toolbox for the fast contextualization of logical networks
Motivation: Mathematical modelling of regulatory networks allows for the discovery of knowledge at the system level. However, existing modelling tools are often computation-heavy and do not offer intuitive ways to explore the model, to test hypotheses or to interpret the results biologically. Results: We have developed a computational approach to contextualize logical models of regulatory netwo...
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A Logical Toolbox for Knowledge Approximation
It is well-known that the logicist approach to agency is confronted with both epistemological and heuristic problems. On the one hand, the agent’s model must be logically adequate: it must provide us a clear picture of what the agent is, and is not, able to deduce from its background knowledge. On the other hand, the agent’s program must be adequate in practice: it must generate useful conclusi...
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Summary We introduce the caspo toolbox, a python package implementing a workflow for reasoning on logical networks families. Our software allows researchers to (i) a family of logical networks derived from a given topology and explaining the experimental response to various perturbations; (ii) all logical networks in a given family by their input-output behaviors; (iii) the response of the syst...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2017
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btx380