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matlab function lassoglm  (MathWorks Inc)


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    MathWorks Inc matlab function lassoglm
    Matlab Function Lassoglm, 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/matlab+function+lassoglm/pm39700666-79-24-25
    Average 90 stars, based on 1 article reviews
    matlab function lassoglm - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: A Psychophysical Imaging Method Evidencing Auditory Cue Extraction during Speech Perception: A Group Analysis of Auditory Classification Images
    Article Snippet: A similar criterion, the “one-standard-error” rule, is presented in [ ] and is implemented with the MATLAB function lassoglm .

    Article Title: Distinct prefrontal top-down circuits differentially modulate sensorimotor behavior
    Article Snippet: We used elastic net regularization (MATLAB function lassoglm with α = 0.5 and λ = 0.02) and five-fold cross validation to prevent model overfitting.

    Article Title: Real-Life Self-Control is Predicted by Parietal Activity During Preference Decision Making: A Brain Decoding Analysis
    Article Snippet: To predict the probability of real-life self-control failures based on individual activity patterns in these ROIs, L1-regularized logistic regression (implemented via the Matlab function lassoglm ) was used.

    Article Title: A global approach for learning sparse Ising models
    Article Snippet: Algorithm: we use the Matlab function lassoglm to solve both problem (10) and problem (11), see [1] for details.

    Article Title: Coherent neural oscillations inform early stroke motor recovery
    Article Snippet: Prediction of motor recovery (admission to discharge FIM‐motor change) using EEG measurements was done using the Matlab function lassoglm which includes hyperparameter optimization using leave‐one‐out cross‐validation.

    Article Title: Circulating inflammatory markers predict depressive symptomatology in COVID-19 survivors.
    Article Snippet: Growing evidence suggests the neurobiological mechanism upholding post-COVID-19 depression mainly relates to immune response and subsequent unresolved low-grade inflammation.. Herein we exploit a broad panel of cytokines serum levels measured in COVID-19 survivors at oneand three-month since infection to predict postCOVID-19 depression.. 87 COVID survivors were screened for depressive symptomatology at oneand three-month after discharge through the Beck Depression Inventory (BDI-13) and the Zung Self-Rating Depression Scale (ZSDS) at San Raffaele Hospital.

    Comparison:

    Article Title: Regional gene expression signatures are associated with sex-specific functional connectivity changes in depression.
    Article Snippet: .. The GLM was performed with the MATLAB function “lassoglm”, which iterated over 80 different lambda values, allowing for comparison of GLM performance at different numbers of features (ranging from 1 to ~400) included in the GLM. ..



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    Image Search Results


    Journal: STAR Protocols

    Article Title: A Poisson generalized linear model application to disentangle the effects of various parameters on neurophysiological discharges

    doi: 10.1016/j.xpro.2021.100413

    Figure Lengend Snippet:

    Article Snippet: To exploit parallel computation and distribute the computational load on all the available cores, a good automatic solution is to set ‘UseParallel’ option in lassoglm MATLAB function (which is highly time consuming) to true to compute in parallel and exploit more cores.

    Techniques: Software