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lowess based normalization  (MathWorks Inc)


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    MathWorks Inc lowess based normalization
    Lowess Based Normalization, 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/lowess+based+normalization/pmc06591011-320-4-26
    Average 90 stars, based on 1 article reviews
    lowess based normalization - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    other:

    Article Title: Antibody 10-1074 suppresses viremia in HIV-1-infected individuals
    Article Snippet: Curves illustrating average change in viremia after 10-1074 infusions were fitted by robust lowess regression with 40% of the data using MATLAB_R2016a ( ).

    Article Title: Metabolomics-Driven Exploration of the Chemical Drug Space to Predict Combination Antimicrobial Therapies
    Article Snippet: Specifically, locally weighted smoothing regression (LOWESS) based normalization with a window size of 20% of total data was performed on each individual ion profile, using the MATLAB function “malowess.” Briefly, for a given growth rate the expected relative abundance of an ion is estimated as the average of the relative ion intensity for proximal growth rate inhibition.

    Article Title: Orientation-Tuned Surround Suppression in Mouse Visual Cortex
    Article Snippet: We used a LOWESS regression with a time span of 60 s (MATLAB; MathWorks).

    Article Title: Highly motile cells are metabolically responsive to collagen density
    Article Snippet: From 1 h time-lapses, normalized PercevalHR and velocity were smoothed using LOWESS regression to reduce noise, then ATP:ADP and velocity fluctuations and ATP:ADP area (area between curve and lowest value using trapz function) was calculated in MATLAB (Mathworks, 2019a).

    Migration:

    Article Title: Tension directs cancer cell migration over fiber alignment through energy minimization.
    Article Snippet: .. To better assess energy consumption during migration, we more closely examined fluctuations in normalized PercevalHR signal over 1 h with images collected every min. Normalized PercevalHR signal and velocity were first smoothed using LOWESS regression in MATLAB to reduce noise. ..



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