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lasso function  (MathWorks Inc)


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    MathWorks Inc lasso function
    Lasso Function, 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/lasso+function/pm40539497-189-8-8
    Average 90 stars, based on 1 article reviews
    lasso function - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Dynamic driving pressure predicts ventilator-induced lung injury in mice with and without endotoxin-induced acute lung injury
    Article Snippet: Three elastic net regressions were performed using the lasso function in MATLAB to predict the change in elastance over the ventilation period, the change in inspiratory capacity, and the change in quasi-static compliance.

    Article Title: Leveraging metabolic modeling and machine learning to uncover modulators of quiescence depth
    Article Snippet: The model was also implemented in MATLAB with the lasso function and accepted two key inputs: lambda, the regularization coefficients, and alpha, the ratio between ridge and lasso optimization.

    Article Title: A formally exact theory to construct nonreactive forcefields using linear regression to optimize bonded parameters
    Article Snippet: The Matlab lasso function was used with the following settings: intercept = false, standardize = false, RelTol = 10 −8 , MaxIter = 10 9 .

    Article Title: How Orienting and Defence Drives Oscillatory Responses in Human Visual and Motor Cortical Circuits During Viewing of Threat Pictures: Evidence From ssVEPs and Beta-Band Desynchronization.
    Article Snippet: The elastic net regression was performed using the Matlab function ‘lasso’ of the Statistics and Machine Learning Toolbox.

    Article Title: Control points for design of taxonomic composition in synthetic human gut communities
    Article Snippet: The elastic net and regularization coefficient hyperparameters were selected using a “grid search” approach, and MATLAB’s “lasso” function.

    Article Title: A Koopman-based residual modeling approach for the control of a soft robot arm
    Article Snippet: Soft robots are challenging to model and control due to their poorly defined kinematics and nonlinear dynamics.. Recently, Koopman operator theory has been shown capable of constructing control-oriented soft robot models from data.. However, building these models requires extensive data collection and they do not necessarily generalize well outside of the training observations.

    Selection:

    Article Title: Research on noise-induced hearing loss based on functional and structural MRI using machine learning methods.
    Article Snippet: .. In this study, the LASSO function in MATLAB was used for feature selection. ..

    Article Title: Commercially Available Blue Diode Laser Engraver Operating at 455 nm as an Affordable LD-REIMS Ionization Source.
    Article Snippet: .. Least absolute shrinkage and selection operator (LASSO) regression was also performed in MATLAB, using the lasso function with 1SE lambda selection criterion (cross-validation specification = 10). ..



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