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Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspace...

Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspace...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3882777

Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspaces of the state space

About this item

Full title

Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspaces of the state space

Publisher

England: BioMed Central Ltd

Journal title

BMC bioinformatics, 2013-12, Vol.14 (1), p.361-361, Article 361

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

Boolean models are increasingly used to study biological signaling networks. In a Boolean network, nodes represent biological entities such as genes, proteins or protein complexes, and edges indicate activating or inhibiting influences of one node towards another. Depending on the input of activators or inhibitors, Boolean networks categorize nodes...

Alternative Titles

Full title

Detection of attractors of large Boolean networks via exhaustive enumeration of appropriate subspaces of the state space

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3882777

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_3882777

Other Identifiers

ISSN

1471-2105

E-ISSN

1471-2105

DOI

10.1186/1471-2105-14-361

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