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MathWorks Inc e-fmin
Summary of developed integration algorithms to generate context-specific GEMs.
E Fmin, 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/e-fmin/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
e-fmin - by Bioz Stars, 2026-03
90/100 stars

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Article Title: Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models

Journal: NPJ Systems Biology and Applications

doi: 10.1038/s41540-023-00281-w

Summary of developed integration algorithms to generate context-specific GEMs.
Figure Legend Snippet: Summary of developed integration algorithms to generate context-specific GEMs.

Techniques Used: Formulation, Modification, Gene Expression, Combined Bisulfite Restriction Analysis Assay, Metabolic Labelling, Activation Assay, Activity Assay, Expressing, Functional Assay, Microarray



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MathWorks Inc e-fmin
Summary of developed integration algorithms to generate context-specific GEMs.
E Fmin, 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/e-fmin/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
e-fmin - by Bioz Stars, 2026-03
90/100 stars
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Summary of developed integration algorithms to generate context-specific GEMs.

Journal: NPJ Systems Biology and Applications

Article Title: Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models

doi: 10.1038/s41540-023-00281-w

Figure Lengend Snippet: Summary of developed integration algorithms to generate context-specific GEMs.

Article Snippet: E-Fmin , 2014 , E. coli, and S. cerevisiae , E-Fmin is a modified extension of GIMME which forces biomass production to carry non-zero flux, whereas GIMME requires certain metabolic functionalities to be active above condition-dependent thresholds. , MATLAB.

Techniques: Formulation, Modification, Gene Expression, Combined Bisulfite Restriction Analysis Assay, Metabolic Labelling, Activation Assay, Activity Assay, Expressing, Functional Assay, Microarray