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two-sided wilcoxon rank sum test with the matlab function ranksum  (MathWorks Inc)


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    MathWorks Inc two-sided wilcoxon rank sum test with the matlab function ranksum
    Two Sided Wilcoxon Rank Sum Test With The Matlab Function Ranksum, 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/wilcoxon+rank+sum+test+(matlab+function+'ranksum)/pmc11522409-391-15-15
    Average 90 stars, based on 1 article reviews
    two-sided wilcoxon rank sum test with the matlab function ranksum - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Standard Deviation:

    Article Title: Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
    Article Snippet: The Wilcoxon rank sum test (MATLAB function ranksum) was used to compare overall pathological subjects’ parameters with healthy normative values.

    Article Title: Failure to breathe persists without air hunger or alarm following amygdala seizures
    Article Snippet: The power changes were then subjected to statistical analysis using Wilcoxon rank sum test (Matlab function: ranksum) to test if the changes were significantly different from zero.

    Article Title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.
    Article Snippet: A Wilcoxon rank sum test (MATLAB ranksum function) was used to test the statistical differences in the most and the least important neurons including tuning characteristics (tuning height and circular variance), distributions of the average neural firing rates, and the correlations between neural activity and limb movements (figure 10).

    Article Title: Disordered Proteins Regulate Stress- and Damage-Dependent DNA Binding
    Article Snippet: STATISTICAL ANALYSIS Where noted, the two—sided Wilcoxon rank—sum test (MATLAB function ranksum) was used to compare different distributions, with statistically significant differences determined as p < 0.05.

    Article Title: Dietary restriction by bacterial deprivation increases life span in wild-derived nematodes
    Article Snippet: The Wilcoxon rank sum test (MATLAB RANKSUM function) was used to determine statistical significance and calculate P -values.

    Article Title: Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation in Pseudomonas aeruginosa
    Article Snippet: Differences in intrinsic noise, NTR, and mean expression level of genes belonging to different functional categories were estimated using a single-sided Wilcoxon rank-sum test (MATLAB built-in function, ranksum).

    Article Title: Connectomic analysis of thalamus-driven disinhibition in cortical layer 4.
    Article Snippet: All tests were done using Wilcoxon-rank-sum test (MATLAB function ranksum) unless otherwise noted.

    Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells
    Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).

    Comparison:

    Article Title: Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
    Article Snippet: The Wilcoxon rank sum test (MATLAB function ranksum) was used to compare overall pathological subjects’ parameters with healthy normative values.

    Article Title: Failure to breathe persists without air hunger or alarm following amygdala seizures
    Article Snippet: The power changes were then subjected to statistical analysis using Wilcoxon rank sum test (Matlab function: ranksum) to test if the changes were significantly different from zero.

    Article Title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.
    Article Snippet: A Wilcoxon rank sum test (MATLAB ranksum function) was used to test the statistical differences in the most and the least important neurons including tuning characteristics (tuning height and circular variance), distributions of the average neural firing rates, and the correlations between neural activity and limb movements (figure 10).

    Article Title: Disordered Proteins Regulate Stress- and Damage-Dependent DNA Binding
    Article Snippet: STATISTICAL ANALYSIS Where noted, the two—sided Wilcoxon rank—sum test (MATLAB function ranksum) was used to compare different distributions, with statistically significant differences determined as p < 0.05.

    Article Title: Dietary restriction by bacterial deprivation increases life span in wild-derived nematodes
    Article Snippet: The Wilcoxon rank sum test (MATLAB RANKSUM function) was used to determine statistical significance and calculate P -values.

    Article Title: Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation in Pseudomonas aeruginosa
    Article Snippet: Differences in intrinsic noise, NTR, and mean expression level of genes belonging to different functional categories were estimated using a single-sided Wilcoxon rank-sum test (MATLAB built-in function, ranksum).

    Article Title: Connectomic analysis of thalamus-driven disinhibition in cortical layer 4.
    Article Snippet: All tests were done using Wilcoxon-rank-sum test (MATLAB function ranksum) unless otherwise noted.

    Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells
    Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).

    Expressing:

    Article Title: Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
    Article Snippet: The Wilcoxon rank sum test (MATLAB function ranksum) was used to compare overall pathological subjects’ parameters with healthy normative values.

    Article Title: Failure to breathe persists without air hunger or alarm following amygdala seizures
    Article Snippet: The power changes were then subjected to statistical analysis using Wilcoxon rank sum test (Matlab function: ranksum) to test if the changes were significantly different from zero.

    Article Title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.
    Article Snippet: A Wilcoxon rank sum test (MATLAB ranksum function) was used to test the statistical differences in the most and the least important neurons including tuning characteristics (tuning height and circular variance), distributions of the average neural firing rates, and the correlations between neural activity and limb movements (figure 10).

    Article Title: Disordered Proteins Regulate Stress- and Damage-Dependent DNA Binding
    Article Snippet: STATISTICAL ANALYSIS Where noted, the two—sided Wilcoxon rank—sum test (MATLAB function ranksum) was used to compare different distributions, with statistically significant differences determined as p < 0.05.

    Article Title: Dietary restriction by bacterial deprivation increases life span in wild-derived nematodes
    Article Snippet: The Wilcoxon rank sum test (MATLAB RANKSUM function) was used to determine statistical significance and calculate P -values.

    Article Title: Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation in Pseudomonas aeruginosa
    Article Snippet: Differences in intrinsic noise, NTR, and mean expression level of genes belonging to different functional categories were estimated using a single-sided Wilcoxon rank-sum test (MATLAB built-in function, ranksum).

    Article Title: Connectomic analysis of thalamus-driven disinhibition in cortical layer 4.
    Article Snippet: All tests were done using Wilcoxon-rank-sum test (MATLAB function ranksum) unless otherwise noted.

    Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells
    Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).

    Functional Assay:

    Article Title: Beyond clinical scales: an observational study on instrumental gait analysis and biomechanical patterns in patients with Parkinson’s disease
    Article Snippet: The Wilcoxon rank sum test (MATLAB function ranksum) was used to compare overall pathological subjects’ parameters with healthy normative values.

    Article Title: Failure to breathe persists without air hunger or alarm following amygdala seizures
    Article Snippet: The power changes were then subjected to statistical analysis using Wilcoxon rank sum test (Matlab function: ranksum) to test if the changes were significantly different from zero.

    Article Title: Decoding multi-limb movements from two-photon calcium imaging of neuronal activity using deep learning.
    Article Snippet: A Wilcoxon rank sum test (MATLAB ranksum function) was used to test the statistical differences in the most and the least important neurons including tuning characteristics (tuning height and circular variance), distributions of the average neural firing rates, and the correlations between neural activity and limb movements (figure 10).

    Article Title: Disordered Proteins Regulate Stress- and Damage-Dependent DNA Binding
    Article Snippet: STATISTICAL ANALYSIS Where noted, the two—sided Wilcoxon rank—sum test (MATLAB function ranksum) was used to compare different distributions, with statistically significant differences determined as p < 0.05.

    Article Title: Dietary restriction by bacterial deprivation increases life span in wild-derived nematodes
    Article Snippet: The Wilcoxon rank sum test (MATLAB RANKSUM function) was used to determine statistical significance and calculate P -values.

    Article Title: Genome-Wide Analysis of Gene Expression Noise Brought About by Transcriptional Regulation in Pseudomonas aeruginosa
    Article Snippet: Differences in intrinsic noise, NTR, and mean expression level of genes belonging to different functional categories were estimated using a single-sided Wilcoxon rank-sum test (MATLAB built-in function, ranksum).

    Article Title: Connectomic analysis of thalamus-driven disinhibition in cortical layer 4.
    Article Snippet: All tests were done using Wilcoxon-rank-sum test (MATLAB function ranksum) unless otherwise noted.

    Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells
    Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).



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    (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; <t>Wilcoxon</t> <t>rank-sum</t> <t>test</t> and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).
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    (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; <t>Wilcoxon</t> <t>rank-sum</t> <t>test</t> and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).
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    (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; <t>Wilcoxon</t> <t>rank-sum</t> <t>test</t> and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).
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    Image Search Results


    (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; Wilcoxon rank-sum test and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).

    Journal: bioRxiv

    Article Title: Local interneurons in the murine visual thalamus have diverse receptive fields and can provide feature selective inhibition to relay cells

    doi: 10.1101/2023.08.10.549394

    Figure Lengend Snippet: (A) 1σ contours of 2D Gaussian fits to the receptive fields of interneurons (green ellipses) and relay cells (black ellipses) aligned to the center of the stimulus grid (interneurons, n = 27; relay cells, n = 205). Fits were made to the full extent of each (sub)region for On, Off, On-Off cells or to the centers for center-surround cells. (B) Leftmost pair of box and violin plots show that the distributions of receptive field sizes for interneurons (green) and relay cells (black) are statistically indistinguishable; Wilcoxon rank-sum test and two-sample Kolmogorov-Smirnov test (p>0.05). For box plots, horizontal lines indicate the mean, circles denote the median, and vertical lines the SD; for violin plots, horizontal lines are individual values. Remaining plots show distributions of receptive field sizes for individual classes of cell: On, Off, On-Off, SBC, and Adaptive (see for an illustration of adaptive cells).

    Article Snippet: For non-parametric datasets, we used the Wilcoxon rank sum test (MATLAB function ‘ranksum’) in addition to the two-sample Kolmogorov-Smirnov test (MATLAB function ‘kstest2’).

    Techniques: