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gaussian mixture distribution model  (MathWorks Inc)
94
MathWorks Inc gaussian mixture distribution model
Gaussian Mixture Distribution Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gaussian mixture model  (MathWorks Inc)
96
MathWorks Inc gaussian mixture model
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Gaussian Mixture Model, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab mathworks  (MathWorks Inc)
96
MathWorks Inc matlab mathworks
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Matlab Mathworks, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab statistics toolbox  (MathWorks Inc)
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MathWorks Inc matlab statistics toolbox
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Matlab Statistics Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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klustakwik algorithm  (SourceForge net)
90
SourceForge net klustakwik algorithm
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Klustakwik Algorithm, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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computer vision system toolbox  (MathWorks Inc)
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MathWorks Inc computer vision system toolbox
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Computer Vision System Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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philips achieva  (Philips Healthcare)
86
Philips Healthcare philips achieva
Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each <t>Gaussian</t> component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.
Philips Achieva, supplied by Philips Healthcare, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each Gaussian component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.

Journal: The Journal of Biological Chemistry

Article Title: Differential effects of the dynein-regulatory factor Lissencephaly-1 on processive dynein-dynactin motility

doi: 10.1074/jbc.M117.790048

Figure Lengend Snippet: Concentration-dependent effects of LIS1 on DDB velocity. A, example kymographs showing continued processive DDB movement at a range of LIS1 concentrations. Note processive movement continues even at high concentrations of LIS1. Scale bars, 5 μm, 10 s. B, box plots showing DDB velocities at indicated LIS1 concentrations. Whiskers show minimum to maximum values in data set. Addition of LIS1 shifts the population mean significantly compared with 0 nm LIS1. *, p ≤ 0.05; ***, p ≤ 0.0001, Kruskal–Wallis test, with Dunn's multiple comparison test. C, velocity distribution histograms for each concentration of LIS1 added. Each distribution was best fit by a sum of two Gaussians (data are pooled from three independent trials). Mode velocities for each Gaussian component as well as respective uncertainties (here: bias-corrected and accelerated bootstrap confidence intervals) are shown. D, empirical cumulative distribution functions show a clear shift to higher DDB velocities at 500 nm LIS1. E, the fraction of the total population found in each velocity category, calculated as the area under each Gaussian fit. F, box plot of the number of DDB complexes per μm of MT per s. No statistical difference is observed, p = 0.0619, one-way ANOVA. n = 10 MTs and >200 DDB complexes per condition from at least two independent trials. Whiskers show minimum to maximum values in data set. n.s., not significant. G, plot showing processive (columns P), diffusive (columns D), or static (columns S) DDB behavior with or without LIS1. n = 10 MTs and >200 DDB complexes quantified per condition from at least two independent trials. Data from individual MTs are shown color-coded to correspond to concentrations of LIS1 as in F. *, p ≤ 0.05; ***, p ≤ 0.0001 compared with 0 nm LIS1, two-way ANOVA with Dunnett's multiple comparison test.

Article Snippet: Velocity analysis in was performed by calculating the positions of the peaks in all data sets through fitting the data to a Gaussian Mixture Model (Matlab, Statistics toolbox; Mathworks, Natick, MA).

Techniques: Concentration Assay