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multi-objective genetic algorithm (moga) approach within matlab scripting  (MathWorks Inc)


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    MathWorks Inc multi-objective genetic algorithm (moga) approach within matlab scripting
    Multi Objective Genetic Algorithm (Moga) Approach Within Matlab Scripting, 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/moga+algorithm/pmc10876527-172-8-8
    Average 90 stars, based on 1 article reviews
    multi-objective genetic algorithm (moga) approach within matlab scripting - by Bioz Stars, 2026-11
    90/100 stars

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    other:

    Article Title: A quantitative systems pharmacology modeling platform for evaluating triglyceride profiles in patients with high triglycerides receiving evinacumab.
    Article Snippet: This allowed MATLAB® scripting to be used to calibrate and test the representation of TG, glucose and insulin data, as published with the model.

    Article Title: Phosphotyrosine Signaling Proteins that Drive Oncogenesis Tend to be Highly Interconnected
    Article Snippet: Acknowledgments—We thank Jeffrey Knott, Susan Rogers, and Colleen Hunter (Cell Signaling Technology Inc.) for peptide synthesis, Bogdan A. Budnick and William S. Lane (FAS Center for Systems Biology) for mass spectrometry, Vijay Warrier for Ephrin receptor cloning, Bryan H. Chang for STAT protein cloning and expression, Ethan S. Karp for help with MATLAB® scripting, Zeba Wunderlich for helpful discussions and Taran S. Gujral (Harvard Medical School) for commenting on the manuscript.

    Article Title: A quantitative systems pharmacology modeling platform for evaluating triglyceride profiles in patients with high triglycerides receiving evinacumab.
    Article Snippet: The quantitative systems pharmacology model was created in SimBiology with MATLAB® scripting.

    Software:

    Article Title: Combination of Droplet Extraction and Pico-ESI-MS Allows the Identification of Metabolites from Single Cancer Cells.
    Article Snippet: We have combined droplet extraction and a pulsed direct current electrospray ionization mass spectrometry method (Pico-ESI-MS) to obtain information-rich metabolite profiling from single cells.. We studied normal human astrocyte cells and glioblastoma cancer cells.. Over 600 tandem mass spectra (MS 2 ) of metabolites from a single cell were recorded allowing the successful identification of more than 300 phospholipids.



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