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roc calculation function glmval  (MathWorks Inc)


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    MathWorks Inc roc calculation function glmval
    Roc Calculation Function Glmval, 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/glmval+function/pmc06001175-209-2-1
    Average 90 stars, based on 1 article reviews
    roc calculation function glmval - by Bioz Stars, 2026-11
    90/100 stars

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    Related Articles

    Extraction:

    Article Title: Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate.
    Article Snippet: .. The raw EEG data were preprocessed using MATLAB 2016a, including channel localization, removal of irrelevant electrodes, band-pass filtering (1–30 Hz), downsampling to 250 Hz, extraction of MI segments, Independent Component Analysis (ICA), removal of bad segments, and re-referencing to the average: (1) Channel localization: EEG data were matched to specific channel locations. (2) Removal electrodes: Non-analytical electrodes, including HEOL and HEOR, were removed. (3) Band-pass filtering: A 1–30 Hz band-pass filter was applied to retain primary EEG signals. (4) Down sampled: The sampling rate was reduced from 500 Hz to 250 Hz to improve computational efficiency. (5) Extraction epoch: EEG data corresponding to MI phases (marked as “2”) were extracted, resulting in 40 segments (Fig. 2b), including 20 left-hand MI segments (80 s) and 20 right-hand MI segments (80 s), for subsequent analysis. (6) Independent Component Analysis (ICA): ICA was applied to identify and remove artifacts caused by eye, cardiac, and muscle activity. ..

    Article Title: Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate
    Article Snippet: .. The raw EEG data were preprocessed using MATLAB 2016a, including channel localization, removal of irrelevant electrodes, band-pass filtering (1–30 Hz), downsampling to 250 Hz, extraction of MI segments, Independent Component Analysis (ICA), removal of bad segments, and re-referencing to the average: Channel localization: EEG data were matched to specific channel locations. ..

    Sampling:

    Article Title: Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate.
    Article Snippet: .. The raw EEG data were preprocessed using MATLAB 2016a, including channel localization, removal of irrelevant electrodes, band-pass filtering (1–30 Hz), downsampling to 250 Hz, extraction of MI segments, Independent Component Analysis (ICA), removal of bad segments, and re-referencing to the average: (1) Channel localization: EEG data were matched to specific channel locations. (2) Removal electrodes: Non-analytical electrodes, including HEOL and HEOR, were removed. (3) Band-pass filtering: A 1–30 Hz band-pass filter was applied to retain primary EEG signals. (4) Down sampled: The sampling rate was reduced from 500 Hz to 250 Hz to improve computational efficiency. (5) Extraction epoch: EEG data corresponding to MI phases (marked as “2”) were extracted, resulting in 40 segments (Fig. 2b), including 20 left-hand MI segments (80 s) and 20 right-hand MI segments (80 s), for subsequent analysis. (6) Independent Component Analysis (ICA): ICA was applied to identify and remove artifacts caused by eye, cardiac, and muscle activity. ..

    Activity Assay:

    Article Title: Classification of left and right-hand motor imagery in acute stroke patients using EEG microstate.
    Article Snippet: .. The raw EEG data were preprocessed using MATLAB 2016a, including channel localization, removal of irrelevant electrodes, band-pass filtering (1–30 Hz), downsampling to 250 Hz, extraction of MI segments, Independent Component Analysis (ICA), removal of bad segments, and re-referencing to the average: (1) Channel localization: EEG data were matched to specific channel locations. (2) Removal electrodes: Non-analytical electrodes, including HEOL and HEOR, were removed. (3) Band-pass filtering: A 1–30 Hz band-pass filter was applied to retain primary EEG signals. (4) Down sampled: The sampling rate was reduced from 500 Hz to 250 Hz to improve computational efficiency. (5) Extraction epoch: EEG data corresponding to MI phases (marked as “2”) were extracted, resulting in 40 segments (Fig. 2b), including 20 left-hand MI segments (80 s) and 20 right-hand MI segments (80 s), for subsequent analysis. (6) Independent Component Analysis (ICA): ICA was applied to identify and remove artifacts caused by eye, cardiac, and muscle activity. ..

    Software:

    Article Title: Herpes simplex virus type 1 reshapes host chromatin architecture via transcription machinery hijacking.
    Article Snippet: .. For ONI images, localization lists were obtained using the integrated simultaneous localization software from ONI (ONI NimOS v.10.5) and subsequently converted into Insight3 compatible files for post-processing using a custom-built software in MATLAB 2016a. ..

    Concentration Assay:

    Article Title: 3D printed vitamin D impregnated catheters for magnetic resonance-guided interventions: proof of concept and imaging characteristics.
    Article Snippet: .. Differences in mean SNR and CNR (averaged over all four flip angles) for isomer concentration were examined using scatter plots, box plots, and nonparametric comparisons using the Dunn method, with saline as the control group in MATLAB 2016a (MathWorks, Natick, MA). .. Additional nonparametric comparisons were performed using the Mann–Whitney test in Prism 10 (GraphPad Software, Boston, MA) to assess T1 values across vitamin D isomer solution concentrations (100%, n = 32 and 50%, n = 32) compared to saline, n = 36.

    Saline:

    Article Title: 3D printed vitamin D impregnated catheters for magnetic resonance-guided interventions: proof of concept and imaging characteristics.
    Article Snippet: .. Differences in mean SNR and CNR (averaged over all four flip angles) for isomer concentration were examined using scatter plots, box plots, and nonparametric comparisons using the Dunn method, with saline as the control group in MATLAB 2016a (MathWorks, Natick, MA). .. Additional nonparametric comparisons were performed using the Mann–Whitney test in Prism 10 (GraphPad Software, Boston, MA) to assess T1 values across vitamin D isomer solution concentrations (100%, n = 32 and 50%, n = 32) compared to saline, n = 36.

    Control:

    Article Title: 3D printed vitamin D impregnated catheters for magnetic resonance-guided interventions: proof of concept and imaging characteristics.
    Article Snippet: .. Differences in mean SNR and CNR (averaged over all four flip angles) for isomer concentration were examined using scatter plots, box plots, and nonparametric comparisons using the Dunn method, with saline as the control group in MATLAB 2016a (MathWorks, Natick, MA). .. Additional nonparametric comparisons were performed using the Mann–Whitney test in Prism 10 (GraphPad Software, Boston, MA) to assess T1 values across vitamin D isomer solution concentrations (100%, n = 32 and 50%, n = 32) compared to saline, n = 36.

    Derivative Assay:

    Article Title: 突发公共卫生事件健康相关信息质量监管的三方博弈及仿真分析
    Article Snippet: .. Replicator dynamic equations and Jacobian matrices were derived to analyze the stability of equilibrium points, while MATLAB 2016a simulations were conducted to validate the model under varying initial conditions ( e.g ., I yy =100, 150, 200; P yy =0, 20, 35; F yy =0, 10, 20). ..

    other:

    Article Title: Deep vision transformers in neurodegenerative disease diagnosis using 18F-fluorodeoxyglucose positron emission tomography scans and anatomical brain atlas
    Article Snippet: The MathWorks Inc. Matlab R; 2016a.



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    Journal: Biomaterials

    Article Title: Deep learning identification of stiffness markers in breast cancer

    doi: 10.1016/j.biomaterials.2022.121540

    Figure Lengend Snippet: Young’s modulus (global stiffness) characterization and composition analysis of breast tissue. a, Heatmap including (columns) 15 tissue samples from 6 patients (P#) clustered using Euclidean distance with complete linkage by (rows) related features. Each parameter is normalized using a z score. The values within each feature are color coded by low to high. The heatmap key on the left denotes the following color-coded parameters of each feature: cell component, extracellular matrix (ECM) component, pathologic feature, or mechanical measurement. b, Univariate analysis comparing Young’s modulus (global stiffness; kPa) to the percent composition of cell component class: (i) blood vessels, (ii) tumor cells; c, extracellular matrix combined; d, (i) straight collagen and (ii) fibrotic tissue; e, straight collagen from patients who received neoadjuvant chemotherapy; and f, percent breast density. g, Highest correlated pair of tissue composition classes with Young’s Modulus. The Pearson Correlation (r), p-value, r2 value, and error is listed at the top of plots b-e and g. One-way ANOVA was used to perform statistics in f. h, Table of top five correlated tissue composition pairs from bivariate analysis using normal distribution and identity link using MATLAB’s glmfit and glmval functions. Rank ordered by correlation. The error is the fit-error. i, Plot of Spearman Correlation (ρs) versus the p-value for all cellular and extracellular classes versus straight collagen. Values below the dashed line where p = 0.05 are significant. j, Plots showing the monotonic relationship between straight collagen and (i) blood vessels, (ii) tumor cells, (iii) wavy collagen, and (iv) fibrotic tissue. Plots in j show the r2 value and root mean squared error (RMSE) at the top of the plot. Plots with square data points represent luminal A patients who have not received chemotherapy. Plots with circles represent patients who received neoadjuvant chemotherapy. Each data point is color coded by patient. The lines denote the best fit trend line. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

    Article Snippet: The Pearson Correlation (r), p-value, r2 value, and error is listed at the top of plots b-e and g. One-way ANOVA was used to perform statistics in f. h, Table of top five correlated tissue composition pairs from bivariate analysis using normal distribution and identity link using MATLAB’s glmfit and glmval functions.

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