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matlab command ‘fitgmdist  (MathWorks Inc)


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    MathWorks Inc matlab command ‘fitgmdist
    Matlab Command ‘Fitgmdist, 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/result/matlab command ‘fitgmdist/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab command ‘fitgmdist - by Bioz Stars, 2026-03
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    matlab command ‘fitgmdist  (MathWorks Inc)
    90
    MathWorks Inc matlab command ‘fitgmdist
    Matlab Command ‘Fitgmdist, 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/result/matlab command ‘fitgmdist/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab command ‘fitgmdist - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    matlab 'fitgmdist' command  (MathWorks Inc)
    90
    MathWorks Inc matlab 'fitgmdist' command
    (A) Cartoon scheme of experiment. (B) Ear injection of microbes generates a localized source of infection as visualized with EGFP-tagged PA (shown: hypotonic bathing conditions). Panel represents n=6 injection experiments. (C) Upper panel, time-lapse montage of neutrophil recruitment to infected ears in a Low Responder (left) and a High Responder (right) animal at indicated times. Panels represent n=205 (left) and n=125 (right) injection experiments, respectively. Neutrophils are in red. Fluorescent beads (blue) mark the ear region. Scale bar, 100 µm. Lower panel, neutrophil recruitment kinetics in Hypo + PA fish computationally classified into low (black) and high (red) responders by comparison to user-generated training sets. High responder index is depicted as pie chart. Blue percentage, an unsupervised (that is, no user-defined training sets) <t>Gaussian</t> distribution clustering algorithm determines a similar HR-index. Parentheses, number of injection experiments. Please see also Figure S1.
    Matlab 'fitgmdist' Command, 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/result/matlab 'fitgmdist' command/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab 'fitgmdist' command - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier
    fitgmdist command  (MathWorks Inc)
    90
    MathWorks Inc fitgmdist command
    (A) Cartoon scheme of experiment. (B) Ear injection of microbes generates a localized source of infection as visualized with EGFP-tagged PA (shown: hypotonic bathing conditions). Panel represents n=6 injection experiments. (C) Upper panel, time-lapse montage of neutrophil recruitment to infected ears in a Low Responder (left) and a High Responder (right) animal at indicated times. Panels represent n=205 (left) and n=125 (right) injection experiments, respectively. Neutrophils are in red. Fluorescent beads (blue) mark the ear region. Scale bar, 100 µm. Lower panel, neutrophil recruitment kinetics in Hypo + PA fish computationally classified into low (black) and high (red) responders by comparison to user-generated training sets. High responder index is depicted as pie chart. Blue percentage, an unsupervised (that is, no user-defined training sets) <t>Gaussian</t> distribution clustering algorithm determines a similar HR-index. Parentheses, number of injection experiments. Please see also Figure S1.
    Fitgmdist Command, 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/result/fitgmdist command/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    fitgmdist command - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

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    (A) Cartoon scheme of experiment. (B) Ear injection of microbes generates a localized source of infection as visualized with EGFP-tagged PA (shown: hypotonic bathing conditions). Panel represents n=6 injection experiments. (C) Upper panel, time-lapse montage of neutrophil recruitment to infected ears in a Low Responder (left) and a High Responder (right) animal at indicated times. Panels represent n=205 (left) and n=125 (right) injection experiments, respectively. Neutrophils are in red. Fluorescent beads (blue) mark the ear region. Scale bar, 100 µm. Lower panel, neutrophil recruitment kinetics in Hypo + PA fish computationally classified into low (black) and high (red) responders by comparison to user-generated training sets. High responder index is depicted as pie chart. Blue percentage, an unsupervised (that is, no user-defined training sets) Gaussian distribution clustering algorithm determines a similar HR-index. Parentheses, number of injection experiments. Please see also Figure S1.

    Journal: Immunity

    Article Title: Tissue damage signaling is a prerequisite for protective neutrophil recruitment to microbial infection in zebrafish

    doi: 10.1016/j.immuni.2018.04.020

    Figure Lengend Snippet: (A) Cartoon scheme of experiment. (B) Ear injection of microbes generates a localized source of infection as visualized with EGFP-tagged PA (shown: hypotonic bathing conditions). Panel represents n=6 injection experiments. (C) Upper panel, time-lapse montage of neutrophil recruitment to infected ears in a Low Responder (left) and a High Responder (right) animal at indicated times. Panels represent n=205 (left) and n=125 (right) injection experiments, respectively. Neutrophils are in red. Fluorescent beads (blue) mark the ear region. Scale bar, 100 µm. Lower panel, neutrophil recruitment kinetics in Hypo + PA fish computationally classified into low (black) and high (red) responders by comparison to user-generated training sets. High responder index is depicted as pie chart. Blue percentage, an unsupervised (that is, no user-defined training sets) Gaussian distribution clustering algorithm determines a similar HR-index. Parentheses, number of injection experiments. Please see also Figure S1.

    Article Snippet: User-unsupervised, Gaussian mixture distribution model clustering ( McLachlan and Peel, 2000 ) into two clusters using the Matlab ‘fitgmdist’ command gave largely similar results ( Figure S1B ).

    Techniques: Injection, Infection, Comparison, Generated