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fitglm.m function  (MathWorks Inc)


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  • 90

    Structured Review

    MathWorks Inc fitglm.m function
    Fitglm.M 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/fitglm%2Em+function/pm37964432-120-14-17
    Average 90 stars, based on 1 article reviews
    fitglm.m function - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Construct:

    Article Title: Decoding the Spike-Band Subthreshold Motor Cortical Activity.
    Article Snippet: Intracortical Brain-Computer Interfaces (iBCI) use single-unit activity (SUA), multiunit activity (MUA) and local field potentials (LFP) to control neuroprosthetic devices.. SUA and MUA are usually extracted from the bandpassed recording through amplitude thresholding, while subthreshold data are ignored.. Here, we show that subthreshold data can actually be decoded to determine behavioral variables with test set accuracy of up to 100%.

    Article Title: Metabolism and the Evolution of Social Behavior
    Article Snippet: In order to correct for variation in sample concentration, we calculated the scaling factor by fitting a generalized linear model using the fitglm.m function in Matlab using log as the link function with the following formula in Wilkinson notation: Log(peakArea) ∼ mutant_id * experiment_id + metabolite_ id.

    Article Title: Multi-scale goal distance representations in human hippocampus during virtual spatial navigation.
    Article Snippet: Article

    Article Title: Environmental boundary conditions for the origin of life converge to an organo-sulfur metabolism
    Article Snippet: We next constructed the following generalized linear model to model whether the network expanded beyond metabolites: logit ( y k ) = β 0 + β N x N k + β S x S k + β C x C k + β H x H k + β E x E k + β T x T k We fit the parameters ( β 0 , β N , β S , β C , β H , β E , β T ) using the fitglm.m function in MATLAB 2015a, and a receiver operating curve (ROC) was generated using the perfcurve.m function.

    Generated:

    Article Title: Decoding the Spike-Band Subthreshold Motor Cortical Activity.
    Article Snippet: Intracortical Brain-Computer Interfaces (iBCI) use single-unit activity (SUA), multiunit activity (MUA) and local field potentials (LFP) to control neuroprosthetic devices.. SUA and MUA are usually extracted from the bandpassed recording through amplitude thresholding, while subthreshold data are ignored.. Here, we show that subthreshold data can actually be decoded to determine behavioral variables with test set accuracy of up to 100%.

    Article Title: Metabolism and the Evolution of Social Behavior
    Article Snippet: In order to correct for variation in sample concentration, we calculated the scaling factor by fitting a generalized linear model using the fitglm.m function in Matlab using log as the link function with the following formula in Wilkinson notation: Log(peakArea) ∼ mutant_id * experiment_id + metabolite_ id.

    Article Title: Multi-scale goal distance representations in human hippocampus during virtual spatial navigation.
    Article Snippet: Article

    Article Title: Environmental boundary conditions for the origin of life converge to an organo-sulfur metabolism
    Article Snippet: We next constructed the following generalized linear model to model whether the network expanded beyond metabolites: logit ( y k ) = β 0 + β N x N k + β S x S k + β C x C k + β H x H k + β E x E k + β T x T k We fit the parameters ( β 0 , β N , β S , β C , β H , β E , β T ) using the fitglm.m function in MATLAB 2015a, and a receiver operating curve (ROC) was generated using the perfcurve.m function.

    Concentration Assay:

    Article Title: Decoding the Spike-Band Subthreshold Motor Cortical Activity.
    Article Snippet: Intracortical Brain-Computer Interfaces (iBCI) use single-unit activity (SUA), multiunit activity (MUA) and local field potentials (LFP) to control neuroprosthetic devices.. SUA and MUA are usually extracted from the bandpassed recording through amplitude thresholding, while subthreshold data are ignored.. Here, we show that subthreshold data can actually be decoded to determine behavioral variables with test set accuracy of up to 100%.

    Article Title: Metabolism and the Evolution of Social Behavior
    Article Snippet: In order to correct for variation in sample concentration, we calculated the scaling factor by fitting a generalized linear model using the fitglm.m function in Matlab using log as the link function with the following formula in Wilkinson notation: Log(peakArea) ∼ mutant_id * experiment_id + metabolite_ id.

    Article Title: Multi-scale goal distance representations in human hippocampus during virtual spatial navigation.
    Article Snippet: Article

    Article Title: Environmental boundary conditions for the origin of life converge to an organo-sulfur metabolism
    Article Snippet: We next constructed the following generalized linear model to model whether the network expanded beyond metabolites: logit ( y k ) = β 0 + β N x N k + β S x S k + β C x C k + β H x H k + β E x E k + β T x T k We fit the parameters ( β 0 , β N , β S , β C , β H , β E , β T ) using the fitglm.m function in MATLAB 2015a, and a receiver operating curve (ROC) was generated using the perfcurve.m function.

    Mutagenesis:

    Article Title: Decoding the Spike-Band Subthreshold Motor Cortical Activity.
    Article Snippet: Intracortical Brain-Computer Interfaces (iBCI) use single-unit activity (SUA), multiunit activity (MUA) and local field potentials (LFP) to control neuroprosthetic devices.. SUA and MUA are usually extracted from the bandpassed recording through amplitude thresholding, while subthreshold data are ignored.. Here, we show that subthreshold data can actually be decoded to determine behavioral variables with test set accuracy of up to 100%.

    Article Title: Metabolism and the Evolution of Social Behavior
    Article Snippet: In order to correct for variation in sample concentration, we calculated the scaling factor by fitting a generalized linear model using the fitglm.m function in Matlab using log as the link function with the following formula in Wilkinson notation: Log(peakArea) ∼ mutant_id * experiment_id + metabolite_ id.

    Article Title: Multi-scale goal distance representations in human hippocampus during virtual spatial navigation.
    Article Snippet: Article

    Article Title: Environmental boundary conditions for the origin of life converge to an organo-sulfur metabolism
    Article Snippet: We next constructed the following generalized linear model to model whether the network expanded beyond metabolites: logit ( y k ) = β 0 + β N x N k + β S x S k + β C x C k + β H x H k + β E x E k + β T x T k We fit the parameters ( β 0 , β N , β S , β C , β H , β E , β T ) using the fitglm.m function in MATLAB 2015a, and a receiver operating curve (ROC) was generated using the perfcurve.m function.



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