Review



kernel density estimation function  (SAS institute)


Bioz Verified Symbol SAS institute is a verified supplier  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 90

    Structured Review

    SAS institute kernel density estimation function
    (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the <t>density</t> at each BMI level, estimated using the <t>kernel</t> density <t>estimation</t> <t>function</t> in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand
    Kernel Density Estimation Function, supplied by SAS institute, 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/kernel+density+estimate+function/kernel+density+estimation++kde/pmc06721609-116-13-18
    Average 90 stars, based on 1 article reviews
    kernel density estimation function - by Bioz Stars, 2026-10
    90/100 stars

    Images

    1) Product Images from "Association of CREBRF variants with obesity and diabetes in Pacific Islanders from Guam and Saipan"

    Article Title: Association of CREBRF variants with obesity and diabetes in Pacific Islanders from Guam and Saipan

    Journal: Diabetologia

    doi: 10.1007/s00125-019-4932-z

    (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the density at each BMI level, estimated using the kernel density estimation function in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand
    Figure Legend Snippet: (a) ‘Bean’ plot of the distribution of BMI according to genotypes at rs12513649. Grey horizonal lines represent individual values, with the length of the line corresponding to the number of observations at each level. The symmetrical plots represent the density at each BMI level, estimated using the kernel density estimation function in SAS. Black horizontal bars represent the mean value. β=1.55 kg/m2 per copy of the G allele; p=0.0026. (b) ‘Bean’ plot of the distribution of BMI according to genotypes at rs373863828. β=1.48 kg/m2 per copy of the A allele; p=0.033. (c) Prevalence of diabetes according to genotype at rs12513649. OR 0.63 per copy of the G allele; p=0.0063. (d) Prevalence of diabetes according to genotype at rs373863828. OR 0.49 per copy of the A allele; p=0.0022. (e) Meta-analysis of the association of the A allele at rs373863828 with BMI, including data from the present study (labeled ‘Guam/Saipan’). Data are presented as the regression coefficient (β, kg/m2 per copy of the A allele) with 95% CI. (f) Meta-analysis of the association of the A allele at rs373863828 with diabetes. Data are presented as OR per copy of the A allele with 95% CI. NZ, New Zealand

    Techniques Used: Labeling

    Related Articles

    other:

    Article Title: Agronomic and economic performance of 26‐year corn–soybean rotation affected by tillage and fertilization in eastern Canada
    Article Snippet: Funding information Agriculture and Agri-Food Canada, Grant/Award Number: A-Base Abstract Adoption of conservation practices such as no-tillage (NT) may benefit soil properties and related yields.. However, magnitude of changes is dependent upon time scale, soil characteristics, and climatic conditions, which has received little attention in eastern Canada.. A 26-yr field experiment was conducted on a clay loam soil at L’Acadie, southwestern Quebec, to evaluate the effect of NT vs. moldboard plow (MP) and mineral N (0, 80, and 160 kg N ha–1) and P (0, 17.5, and 35 kg P ha–1) fertilization on grain yields, soil properties, and annual net returns of a corn (Zea mays L.)–soybean [Glycine max (L.) Merr.] rotation.

    Article Title: Voided volumes predict degree of partial bladder outlet obstruction in a murine model
    Article Snippet: Correlation was evaluated through bivariate kernel density estimation and a Pearson correlation coefficient (SAS).

    Article Title: A test of the centre–periphery hypothesis using population genetics in an East Asian Tertiary relict tree
    Article Snippet: Understanding the ecological and evolutionary limits to species’ geographical ranges has long been a major focus of biogeographical research (Darwin, 1859; Eckert et al., 2008; Lomolino et al., 2006; Pironon et al., 2017).. Most species’ range edges are not determined by obvious ecological or physical barriers (Parmesan et al., 2005; Sexton et al., 2009).. In many cases, ecologically marginal populations may be separated not only by distance from the core of the species’ distribution but also experience different Received: 15 January 2021 | Revised: 17 July 2021 | Accepted: 22 July 2021 DOI: 10.1111/jbi.14244

    Article Title: Genotype by environment interaction for yearling weight in Nellore cattle applying reaction norms models
    Article Snippet: In the present study, a possible existence of genotype· environment interactionwas verified for yearlingweight in Nellore cattle, utilising a reaction norms model.. Therefore, possible changes in the breeding value were evaluated for 46 032 animals, from three distinct herds, according to the environmental gradient variation of the different contemporary groups.. Under a Bayesian approach, analyses were carried out utilising INTERGEN software resulting in solutions of contemporary groups dispersed in the environmental gradient from –90 to +100 kg.

    Standard Deviation:

    Article Title: TanDEM-X IDEM precision and accuracy assessment based on a large assembly of differential GNSS measurements in Kruger National Park, South Africa
    Article Snippet: Contents lists available at ScienceDirect ISPRS Journal of Photogrammetry and Remote Sensing journal homepage: www.elsevier .com/ locate/ isprs jprs TanDEM-X IDEM precision and accuracy assessment based on a large assembly of differential GNSS measurements in Kruger National Park, South Africa http://dx.doi.org/10.1016/j.isprsjprs.2016.05.005 0924-2716/ 2016 International Society for Photogrammetry and Remote Sensing, Inc. (ISPRS).. Published by Elsevier B.V. All rights reserved.. ⇑ Corresponding author.



    Similar Products

    90
    STATA Corporation kernel density estimation function
    Kernel Density Estimation Function, supplied by STATA Corporation, 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/kernel+density+estimate+function/kernel+density+estimation/pm40311366-199-19-25
    Average 90 stars, based on 1 article reviews
    kernel density estimation function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    STATA Corporation epanechnikov kernel density estimation function
    Epanechnikov Kernel Density Estimation Function, supplied by STATA Corporation, 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/kernel+density+estimate+function/epanechnikov+kernel/pm39647623-154-16-23
    Average 90 stars, based on 1 article reviews
    epanechnikov kernel density estimation function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kde2d kernel density estimation function
    Kde2d Kernel Density Estimation 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/kernel+density+estimate+function/10__1016_slash_j__tust__2024__106117-137-2-8
    Average 90 stars, based on 1 article reviews
    kde2d kernel density estimation function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kernel density estimation functions (kde; matlab function 'ksdensity)
    Kernel Density Estimation Functions (Kde; Matlab Function 'Ksdensity), 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/kernel+density+estimate+function/pmc11421896-76-7-12
    Average 90 stars, based on 1 article reviews
    kernel density estimation functions (kde; matlab function 'ksdensity) - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kernel density estimate ksdensity function
    Kernel Density Estimate Ksdensity 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/kernel+density+estimate+function/pmc10163237-568-11-17
    Average 90 stars, based on 1 article reviews
    kernel density estimate ksdensity function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kernel density estimation utilizing matlab 2021a histfit function
    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB <t>2021a</t> histfit function with five bins.
    Kernel Density Estimation Utilizing Matlab 2021a Histfit 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/kernel+density+estimate+function/pmc09939557-134-57-56
    Average 90 stars, based on 1 article reviews
    kernel density estimation utilizing matlab 2021a histfit function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kernel density estimation via the 'ksdensity' function in
    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB <t>2021a</t> histfit function with five bins.
    Kernel Density Estimation Via The 'Ksdensity' Function In, 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/kernel+density+estimate+function/pm35790403-119-10-13
    Average 90 stars, based on 1 article reviews
    kernel density estimation via the 'ksdensity' function in - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    RStudio kernel density estimate function
    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB <t>2021a</t> histfit function with five bins.
    Kernel Density Estimate Function, supplied by RStudio, 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/kernel+density+estimate+function/kernel+density+estimation/pm34137788-327-7-3
    Average 90 stars, based on 1 article reviews
    kernel density estimate function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    MathWorks Inc kernel density estimation ksdensity function
    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB <t>2021a</t> histfit function with five bins.
    Kernel Density Estimation Ksdensity 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/kernel+density+estimate+function/pm32491906-214-3-9
    Average 90 stars, based on 1 article reviews
    kernel density estimation ksdensity function - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    90
    Esri inc kernel density estimation function weighted by number of cattle
    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB <t>2021a</t> histfit function with five bins.
    Kernel Density Estimation Function Weighted By Number Of Cattle, supplied by Esri 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/kernel+density+estimate+function/kernel+density+estimation+function+weighted+by+number+of+cattle/pmc07510102-71-21-26
    Average 90 stars, based on 1 article reviews
    kernel density estimation function weighted by number of cattle - by Bioz Stars, 2026-10
    90/100 stars
      Buy from Supplier

    Image Search Results


    Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Journal: Computational and Structural Biotechnology Journal

    Article Title: Electro-detachment of kinesin motor domain from microtubule in silico

    doi: 10.1016/j.csbj.2023.01.018

    Figure Lengend Snippet: Effects of 100 MV/m EF on kinesin (solid line) and β -tubulin C-terminus (dotted line) for various EF directions. a) Kinetics of the dipole moment magnitude and c) angle projection (see Eqs. and ). b) translational and d) rotational work carried out by the EF on the protein. Color coding: X (blue), -X (cyan), Z (red), and -Z (violet) EF directions and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for X, N = 10 for -X, N = 10 for Z, N = 10 for -Z trajectories. In c), the gray lines are the reference (no EF) trajectories: solid dark gray and solid light gray for kinesin and β -tubulin C-terminus respectively, in X and -X EF direction (from Eq. ), dashed dark gray and dashed light gray for kinesin and β -tubulin C-terminus respectively, in Z and -Z EF direction (from Eq. ). Distributions on the right display relative probability of the occurrence and the mean of the value for each quantity at the time when zero number of contacts between kinesin and tubulin (see e) was reached. For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Article Snippet: For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Techniques:

    Dependence of the electric field effects on the kinesin (solid lines) and β -tubulin C-terminus (dotted lines) on the EF strength for the X EF direction. Kinetics of a) the number of contacts between kinesin and tubulin, b) the kinesin displacement. c) the kinesin and β -tubulin C-terminus dipole moment magnitude d) the dipole angle projection, e) rotational, and f) translational work carried out by the EF on the kinesin and β -tubulin C-terminus. Color coding: 100 MV/m (blue), 75 MV/m (cyan), 50 MV/m (red), and 30 MV/m (violet) electric field strength and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for 100 MV/m, N = 30 for 75 MV/m, N = 20 for 50 MV/m, N = 10 for 30 MV/m trajectories. The density functions were obtained from kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Journal: Computational and Structural Biotechnology Journal

    Article Title: Electro-detachment of kinesin motor domain from microtubule in silico

    doi: 10.1016/j.csbj.2023.01.018

    Figure Lengend Snippet: Dependence of the electric field effects on the kinesin (solid lines) and β -tubulin C-terminus (dotted lines) on the EF strength for the X EF direction. Kinetics of a) the number of contacts between kinesin and tubulin, b) the kinesin displacement. c) the kinesin and β -tubulin C-terminus dipole moment magnitude d) the dipole angle projection, e) rotational, and f) translational work carried out by the EF on the kinesin and β -tubulin C-terminus. Color coding: 100 MV/m (blue), 75 MV/m (cyan), 50 MV/m (red), and 30 MV/m (violet) electric field strength and gray is the trajectory with no EF. The colored lines are the mean from N = 40 for 100 MV/m, N = 30 for 75 MV/m, N = 20 for 50 MV/m, N = 10 for 30 MV/m trajectories. The density functions were obtained from kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Article Snippet: For example, in a), for the trajectories with X EF direction, the value of the kinesin dipole moment magnitude at the time when zero number of contacts was reached was between 1400 D and 1750 D and the mean value was 1575 D. The probability density functions were obtained by fitting with kernel density estimation utilizing MATLAB 2021a histfit function with five bins.

    Techniques: