gpu-accelerated 'iradon' function (MathWorks Inc)

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MathWorks Inc gpu-accelerated 'iradon' function
Gpu Accelerated 'Iradon' 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/gpu-accelerated+iradon+function/pmc05507440-60-21-23
Average 90 stars, based on 1 article reviews

gpu-accelerated 'iradon' function - by Bioz Stars, 2026-11

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Article Title: Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging
Article Snippet: To account for correlated sexual differentiation and S-A gradient coefficients based on anatomical proximity we used Vasa’s “rotate_parcellation” function in Matlab ( https://github.com/frantisekvasa/rotate_parcellation/commit/bb8b0ef10980f162793cc180cef371e83655c505 ) in order to generate 100,000 spatially constrained permutations of the Schaefer and Gordon brain latent variables (LV), as identified in the behavioral PLS analyses for the ABCD sample.

Article Title: Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging
Article Snippet: 99% confidence intervals (CI) for each correlation coefficient were obtained by using the ‘bootci’ function in Matlab (with default settings and 100,000 bootstrap samples).

Article Title: Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging.
Article Snippet: 99% confidence intervals (CI) for each correlation coefficient (CCA) and loading/salience (PLS) were obtained via the ‘bootci’ function in Matlab (with default settings and 100,000 bootstrap samples).

Article Title: Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging.
Article Snippet: In the crossvalidation procedure, we used the “bootci” function in MATLAB (with default settings and 100,000 bootstraps) to characterize the (a) 99% CIs of the correlation coefficient corresponding to each ROI and the predicted brain LV (estimated in the test fold); (b) 95% CIs for the correlations between the predicted value of the brain LV and each variable in the behavioral set.

Article Title: AAV NRF2 Gene Therapy Preserves Retinal Structure and Function in Rodent Models of Oxidative Damage
Article Snippet: The full model was fit to the data using the ‘fitlme’ function in MATLAB (MathWorks, Natick, MA), using maximum likelihood.

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Article Snippet: This surface, which has a unit-pixel depth and a 111 resolution of 1 μm in the lateral x, y plane, is smoothed by fitting it to a 2D polynomic equation 112 using ‘polyfit2D’ function in MATLAB (MathWorks, MA, USA) using (N + 1) ∙ (N + 2)/2 113 polynomial coefficients (9).

Article Title: Genetic risk predicts adolescent mood pathology via sexual differentiation of brain function and physiological aging
Article Snippet: In the cross-validation procedure, we used the “bootci” function in MATLAB (with default settings and 100,000 bootstraps) to characterize the (a) 99% CIs of the correlation coefficient corresponding to each ROI and the predicted brain LV (estimated in the test fold); (b) 95% CIs for the correlations between the predicted value of the brain LV and each variable in the behavioral set.

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