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v. 9.3.0 (r2017b)  (MathWorks Inc)


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    MathWorks Inc v. 9.3.0 (r2017b)
    V. 9.3.0 (R2017b), 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/product/r2017b+v%2E+9%2E3%2E0/pm36976676-148-18-18
    Average 90 stars, based on 1 article reviews
    v. 9.3.0 (r2017b) - by Bioz Stars, 2026-10
    90/100 stars

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    Related Articles

    Selection:

    Article Title: Predictive evolution of metabolic phenotypes using model‐designed environments
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018; Heirendt et al , ) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed selection niches
    Article Snippet: EvolveX algorithm was implemented and run in Matlab R2017b v. 9.3.0 with IBM ILOG CPLEX v. 12.8.0 functions ‘cplexlp’ and ‘cplexmilp’.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed environments.
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018; Heirendt et al, 2019) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed selection niches
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018) ( ) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed environments.
    Article Snippet: EvolveX algorithm was implemented and run in Matlab R2017b v. 9.3.0 with IBM ILOG CPLEX v. 12.8.0 functions “cplexlp” and “cplexmilp.” The prediction of response to selection in environments with glycerol and ammonium and ethanol and ammonium was performed using Matlab R2019b v. 9.7.0 with IBM ILOG CPLEX v. 12.10.0.

    Combined Bisulfite Restriction Analysis Assay:

    Article Title: Predictive evolution of metabolic phenotypes using model‐designed environments
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018; Heirendt et al , ) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed selection niches
    Article Snippet: EvolveX algorithm was implemented and run in Matlab R2017b v. 9.3.0 with IBM ILOG CPLEX v. 12.8.0 functions ‘cplexlp’ and ‘cplexmilp’.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed environments.
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018; Heirendt et al, 2019) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed selection niches
    Article Snippet: For implementing the model revisions, Matlab R2017b v. 9.3.0 and Cobra toolbox v.3.0 (cloned 29.03.2018) ( ) were used.

    Article Title: Predictive evolution of metabolic phenotypes using model-designed environments.
    Article Snippet: EvolveX algorithm was implemented and run in Matlab R2017b v. 9.3.0 with IBM ILOG CPLEX v. 12.8.0 functions “cplexlp” and “cplexmilp.” The prediction of response to selection in environments with glycerol and ammonium and ethanol and ammonium was performed using Matlab R2019b v. 9.7.0 with IBM ILOG CPLEX v. 12.10.0.



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