kernel density estimation (kde) Search Results


90
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
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CH Instruments kernel density estimation (kde)
. Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Kernel Density Estimation (Kde), supplied by CH Instruments, 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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GraphPad Software Inc kernel density estimator density plot (kde)
. Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Kernel Density Estimator Density Plot (Kde), supplied by GraphPad Software Inc, 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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Esri inc 95% kernel density estimation kde
. Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
95% Kernel Density Estimation Kde, 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
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Esri inc kernel-density estimator kde
. Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Kernel Density Estimator Kde, 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/result/kernel-density estimator kde/product/Esri inc
Average 90 stars, based on 1 article reviews
kernel-density estimator kde - by Bioz Stars, 2026-06
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Nicoya Lifesciences kernel density estimation kde function
. Stoichiometry of SpoIIE in the mother cell. <t>Kernel</t> <t>density</t> <t>estimation</t> <t>(KDE)</t> of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)
Kernel Density Estimation Kde Function, supplied by Nicoya Lifesciences, 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


(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

Journal: Diabetologia

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

doi: 10.1007/s00125-019-4932-z

Figure Lengend 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

Article Snippet: The symmetrical plots represent the density at each BMI level, estimated using the kernel density estimation function in SAS.

Techniques: Labeling

. Stoichiometry of SpoIIE in the mother cell. Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Computational and Structural Biotechnology Journal

Article Title: Single-molecule optical microscopy of protein dynamics and computational analysis of images to determine cell structure development in differentiating Bacillus subtilis

doi: 10.1016/j.csbj.2020.06.005

Figure Lengend Snippet: . Stoichiometry of SpoIIE in the mother cell. Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated.

Techniques:

. Stoichiometry of SpoIIE in the forespore. (A) Kernel density estimate (KDE) of forespore stoichiometry pooled for all data, and zoom-in (inset), (B) in separate stages with overlap tetramer model (black dotted line). (C) Bar chart of mean foci stoichiometry for foci which have > 20 molecules. Stage II ii statistically higher than II i (p = 0.007) (D) Mean number of foci detected per forespore. (E) Mean foci stoichiometry vs. normalised distance into spore for each stage, (inset) schematic of forespore distance normalization. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Journal: Computational and Structural Biotechnology Journal

Article Title: Single-molecule optical microscopy of protein dynamics and computational analysis of images to determine cell structure development in differentiating Bacillus subtilis

doi: 10.1016/j.csbj.2020.06.005

Figure Lengend Snippet: . Stoichiometry of SpoIIE in the forespore. (A) Kernel density estimate (KDE) of forespore stoichiometry pooled for all data, and zoom-in (inset), (B) in separate stages with overlap tetramer model (black dotted line). (C) Bar chart of mean foci stoichiometry for foci which have > 20 molecules. Stage II ii statistically higher than II i (p = 0.007) (D) Mean number of foci detected per forespore. (E) Mean foci stoichiometry vs. normalised distance into spore for each stage, (inset) schematic of forespore distance normalization. Stage I (green),II i (orange), II ii (red), II iii (yellow) and III (cyan). (For interpretation of the references to color in this figure legend, the reader is referred to the web version of this article.)

Article Snippet: Kernel density estimation (KDE) of the stoichiometry (i.e. number of SpoIIE molecules per detected fluorescent focus) in mother cell with predicted overlap tetramer model (black dotted line).Chi-squared χ 2 and probability of confidence p values indicated.

Techniques: