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matlab statistics  (MathWorks Inc)


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    MathWorks Inc matlab statistics
    Matlab Statistics, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 2350 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/machine+learning+toolbox+in+matlab/Statistics+and+Machine+Learning+Toolbox/pm42892425-148-7-7
    Average 96 stars, based on 2350 article reviews
    matlab statistics - by Bioz Stars, 2026-10
    96/100 stars

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    Article Title: Microfluidic Interrogation of Chitin-Induced Calcium Oscillations in the Moss Physcomitrium patens
    Article Snippet: Statistics were performed using either a one-way ANOVA with Bonferroni’s correction for multiple comparisons, or two-tailed t-test using the Statistics and Machine Learning Toolbox in MATLAB (v. 2023a).

    Article Title: Lost in a large EEG multiverse? Comparing sampling approaches for representative pipeline selection.
    Article Snippet: The t-SNE dimensionality reduction algorithm from the Statistics and Machine Learning Toolbox in MATLAB (R2022b) was applied to the training set of observational units (N = 20).

    Article Title: Influence of acupuncture twisting parameters on analgesic effects mediated by mast cells in AA rat models
    Article Snippet: All pain threshold results and MCdR data were analyzed using the Statistics and Machine Learning Toolbox in MATLAB (R2023a, MathWorks, USA).

    Article Title: Spatio-temporal dynamics of ingroup interactions in macaques
    Article Snippet: All statistical tests were performed using the Statistics and Machine Learning Toolbox in MATLAB ( v2021a ).

    Article Title: Predicting multiple sclerosis prognosis using AI and machine learning: integrating clinical, immunological, and radiological variables
    Article Snippet: Statistical analysis was conducted using the Statistics and Machine Learning Toolbox in MATLAB (version 2023b).

    Article Title: Microfluidic Interrogation of Chitin-Induced Calcium Oscillations in the Moss Physcomitrium patens .
    Article Snippet: Statistics were performed using either a one-way ANOVA with Bonferroni’s correction for multiple comparisons, or two-tailed t-test using the Statistics and Machine Learning Toolbox in MATLAB (v. 2023a).

    Article Title: Tumoral and Peritumoral Radiomics for Preoperative Prediction of Visceral Pleural Invasion in Lung Adenocarcinoma
    Article Snippet: All analyses and model development were carried out using the Statistics and Machine Learning Toolbox in MATLAB (Release R2021b).

    Article Title: The plasma protease inhibitor ITIH4 forms oligomeric complexes and senses broader proteolytic activity
    Article Snippet: The curves were fitted globally using the Statistics and Machine Learning Toolbox in MATLAB (MathWorks).



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