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matlab language-specific operators  (MathWorks Inc)


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    MathWorks Inc matlab language-specific operators
    Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including <t>MATLAB</t> script files, SBML, SB Toolbox models and R script files.
    Matlab Language Specific Operators, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab language-specific operators/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab language-specific operators - by Bioz Stars, 2026-04
    90/100 stars

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    1) Product Images from "Odefy -- From discrete to continuous models"

    Article Title: Odefy -- From discrete to continuous models

    Journal: BMC Bioinformatics

    doi: 10.1186/1471-2105-11-233

    Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including MATLAB script files, SBML, SB Toolbox models and R script files.
    Figure Legend Snippet: Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including MATLAB script files, SBML, SB Toolbox models and R script files.

    Techniques Used:

    Boolean model definition . A The easiest way to define a Boolean model in Odefy is to specify a set of Boolean equations in a text file. This example represents an asymmetric version of the mutual inhibitory switch shown in the results section. Note the use of the MATLAB language-specific operators &&, || and ~. B Regulatory interaction graph created with the yEd graph editor. Regular arrows represent activatory influences whereas diamond-head arrows stand for inhibition. Note that we need to specify a generic logic to combine multiple regulatory inputs for node E . The Odefy default at least one activator and no inhibitors logic would result in E = ( A ∨ C ) ˄ ¬ ( B ∨ C ). C Alternative representation of the Boolean model as a hypergraph. Using a specialized node '&' we can precisely specify the Boolean logic for node E . All edges not incident to a '&' node are treated with an OR logic. The resulting Boolean update rule reads E = ( A ˄ ¬ B ) ∨ C ∨ ¬ D . ˄ = logical AND, ∨ = logical OR, ¬ = logical NOT.
    Figure Legend Snippet: Boolean model definition . A The easiest way to define a Boolean model in Odefy is to specify a set of Boolean equations in a text file. This example represents an asymmetric version of the mutual inhibitory switch shown in the results section. Note the use of the MATLAB language-specific operators &&, || and ~. B Regulatory interaction graph created with the yEd graph editor. Regular arrows represent activatory influences whereas diamond-head arrows stand for inhibition. Note that we need to specify a generic logic to combine multiple regulatory inputs for node E . The Odefy default at least one activator and no inhibitors logic would result in E = ( A ∨ C ) ˄ ¬ ( B ∨ C ). C Alternative representation of the Boolean model as a hypergraph. Using a specialized node '&' we can precisely specify the Boolean logic for node E . All edges not incident to a '&' node are treated with an OR logic. The resulting Boolean update rule reads E = ( A ˄ ¬ B ) ∨ C ∨ ¬ D . ˄ = logical AND, ∨ = logical OR, ¬ = logical NOT.

    Techniques Used: Inhibition



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    matlab language-specific operators  (MathWorks Inc)
    90
    MathWorks Inc matlab language-specific operators
    Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including <t>MATLAB</t> script files, SBML, SB Toolbox models and R script files.
    Matlab Language Specific Operators, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab language-specific operators/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab language-specific operators - by Bioz Stars, 2026-04
    90/100 stars
    		  Buy from Supplier

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    Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including MATLAB script files, SBML, SB Toolbox models and R script files.

    Journal: BMC Bioinformatics

    Article Title: Odefy -- From discrete to continuous models

    doi: 10.1186/1471-2105-11-233

    Figure Lengend Snippet: Odefy overview . Odefy generates models from sets of Boolean equations or Boolean hypergraphs created with yEd. Alternatively, Boolean models can be imported from the CellNetAnalyzer, GINsim or the PBN toolbox. Odefy contains a method for the automatic generation of multi-compartment models from a given single cell model. Boolean models can be exported to other discrete input formats (for the GNA and SQUAD toolboxes), used for Boolean simulations and analysis within Odefy, or they can be converted to systems of ordinary differential equation (ODE). These ODE systems can either be directly simulated and analyzed with Odefy or exported to well-established model formats, including MATLAB script files, SBML, SB Toolbox models and R script files.

    Article Snippet: For the Odefy import process, we represent these operators by the MATLAB language-specific operators &&, || and ~, respectively.

    Techniques:

    Boolean model definition . A The easiest way to define a Boolean model in Odefy is to specify a set of Boolean equations in a text file. This example represents an asymmetric version of the mutual inhibitory switch shown in the results section. Note the use of the MATLAB language-specific operators &&, || and ~. B Regulatory interaction graph created with the yEd graph editor. Regular arrows represent activatory influences whereas diamond-head arrows stand for inhibition. Note that we need to specify a generic logic to combine multiple regulatory inputs for node E . The Odefy default at least one activator and no inhibitors logic would result in E = ( A ∨ C ) ˄ ¬ ( B ∨ C ). C Alternative representation of the Boolean model as a hypergraph. Using a specialized node '&' we can precisely specify the Boolean logic for node E . All edges not incident to a '&' node are treated with an OR logic. The resulting Boolean update rule reads E = ( A ˄ ¬ B ) ∨ C ∨ ¬ D . ˄ = logical AND, ∨ = logical OR, ¬ = logical NOT.

    Journal: BMC Bioinformatics

    Article Title: Odefy -- From discrete to continuous models

    doi: 10.1186/1471-2105-11-233

    Figure Lengend Snippet: Boolean model definition . A The easiest way to define a Boolean model in Odefy is to specify a set of Boolean equations in a text file. This example represents an asymmetric version of the mutual inhibitory switch shown in the results section. Note the use of the MATLAB language-specific operators &&, || and ~. B Regulatory interaction graph created with the yEd graph editor. Regular arrows represent activatory influences whereas diamond-head arrows stand for inhibition. Note that we need to specify a generic logic to combine multiple regulatory inputs for node E . The Odefy default at least one activator and no inhibitors logic would result in E = ( A ∨ C ) ˄ ¬ ( B ∨ C ). C Alternative representation of the Boolean model as a hypergraph. Using a specialized node '&' we can precisely specify the Boolean logic for node E . All edges not incident to a '&' node are treated with an OR logic. The resulting Boolean update rule reads E = ( A ˄ ¬ B ) ∨ C ∨ ¬ D . ˄ = logical AND, ∨ = logical OR, ¬ = logical NOT.

    Article Snippet: For the Odefy import process, we represent these operators by the MATLAB language-specific operators &&, || and ~, respectively.

    Techniques: Inhibition