contourc command Search Results


90
STATA Corporation contour command
Contour Command, 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
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STATA Corporation contour command in stata ic 15
Data is jittered for display purposes only in Figures 1A-D ; precise allele counts and BayPR probabilities are provided in the Data Supplement. A Plot of the prevalence ratios (PR) of 22 of the most common pathogenic CFTR variants (black dots) according frequencies in affected (CFTR2) and healthy (gnomAD) individuals demonstrates expected deviation from neutrality (grey line). The designation of each of these variants as pathogenic by the American College of Medical Genetics (ACMG) remains unchanged since their initial interpretation in 2004. B Plot of the prevalence ratios of 135 pathogenic or likely pathogenic (P/LP; red dots) and 17 benign or likely benign (B/LB; green dots) variants interpreted by CFTR2 that have been observed at least once in gnomAD reveals two relatively distinct populations. C Plot of CFTR variants according allele count and BayPR probability of being disease-causing. All 313 variants have been interpreted by CFTR2 as CF-causing (pathogenic/likely pathogenic [P/LP]; n=296) or not CF-causing (benign/likely benign [B/LB]; n=17) using clinical and functional criteria. D BayPR probabilities of 313 CFTR variants stratified according to their functional consequence. E Receiver operating characteristic (ROC) curves were plotted for BayPR and ten in silico prediction algorithms using data from 101 CFTR missense variants. The reference standard are annotations in the CFTR2 database based on clinical and in vitro data. F Heatmap depicts estimated probability of a CFTR variant being associated with disease based on absolute counts of variants in the CFTR2 and gnomAD databases. The area in black represents a greater than 90% probability of being associated with CF and the area in light grey less than 10% probability. Importantly, this heatmap is only applicable to the CF data presented in this manuscript and does not apply to other genetic disorders. This heatmap was generated using the contour command in STATA IC 15, which uses thin plate splines for interpolation.
Contour Command In Stata Ic 15, 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
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MathWorks Inc matlab command contourf
(a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command <t>contourf.</t> (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.
Matlab Command Contourf, 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
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STATA Corporation twoway contour command
(a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command <t>contourf.</t> (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.
Twoway Contour Command, 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
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MathWorks Inc contour command in
(a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command <t>contourf.</t> (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.
Contour Command 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
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contour command in - by Bioz Stars, 2026-04
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MathWorks Inc contourc command
(a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command <t>contourf.</t> (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.
Contourc 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
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contourc command - by Bioz Stars, 2026-04
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MathWorks Inc matlab r2020b
( a ) Relationship between the pump power and output power levels as a function of <t>wavelength</t> (MATLAB <t>R2020b,</t> contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.
Matlab R2020b, 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
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SAS institute graph-contour plot
( a ) Relationship between the pump power and output power levels as a function of <t>wavelength</t> (MATLAB <t>R2020b,</t> contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.
Graph Contour Plot, 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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MathWorks Inc command“contour (z)
( a ) Relationship between the pump power and output power levels as a function of <t>wavelength</t> (MATLAB <t>R2020b,</t> contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.
Command“Contour (Z), 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
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command“contour (z) - by Bioz Stars, 2026-04
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90
MathWorks Inc contour command
( a ) Relationship between the pump power and output power levels as a function of <t>wavelength</t> (MATLAB <t>R2020b,</t> contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.
Contour 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/contour command/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
contour command - by Bioz Stars, 2026-04
90/100 stars
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Image Search Results


Data is jittered for display purposes only in Figures 1A-D ; precise allele counts and BayPR probabilities are provided in the Data Supplement. A Plot of the prevalence ratios (PR) of 22 of the most common pathogenic CFTR variants (black dots) according frequencies in affected (CFTR2) and healthy (gnomAD) individuals demonstrates expected deviation from neutrality (grey line). The designation of each of these variants as pathogenic by the American College of Medical Genetics (ACMG) remains unchanged since their initial interpretation in 2004. B Plot of the prevalence ratios of 135 pathogenic or likely pathogenic (P/LP; red dots) and 17 benign or likely benign (B/LB; green dots) variants interpreted by CFTR2 that have been observed at least once in gnomAD reveals two relatively distinct populations. C Plot of CFTR variants according allele count and BayPR probability of being disease-causing. All 313 variants have been interpreted by CFTR2 as CF-causing (pathogenic/likely pathogenic [P/LP]; n=296) or not CF-causing (benign/likely benign [B/LB]; n=17) using clinical and functional criteria. D BayPR probabilities of 313 CFTR variants stratified according to their functional consequence. E Receiver operating characteristic (ROC) curves were plotted for BayPR and ten in silico prediction algorithms using data from 101 CFTR missense variants. The reference standard are annotations in the CFTR2 database based on clinical and in vitro data. F Heatmap depicts estimated probability of a CFTR variant being associated with disease based on absolute counts of variants in the CFTR2 and gnomAD databases. The area in black represents a greater than 90% probability of being associated with CF and the area in light grey less than 10% probability. Importantly, this heatmap is only applicable to the CF data presented in this manuscript and does not apply to other genetic disorders. This heatmap was generated using the contour command in STATA IC 15, which uses thin plate splines for interpolation.

Journal: bioRxiv

Article Title: Accurate assignment of disease liability to genetic variants using only population data

doi: 10.1101/2021.04.19.440463

Figure Lengend Snippet: Data is jittered for display purposes only in Figures 1A-D ; precise allele counts and BayPR probabilities are provided in the Data Supplement. A Plot of the prevalence ratios (PR) of 22 of the most common pathogenic CFTR variants (black dots) according frequencies in affected (CFTR2) and healthy (gnomAD) individuals demonstrates expected deviation from neutrality (grey line). The designation of each of these variants as pathogenic by the American College of Medical Genetics (ACMG) remains unchanged since their initial interpretation in 2004. B Plot of the prevalence ratios of 135 pathogenic or likely pathogenic (P/LP; red dots) and 17 benign or likely benign (B/LB; green dots) variants interpreted by CFTR2 that have been observed at least once in gnomAD reveals two relatively distinct populations. C Plot of CFTR variants according allele count and BayPR probability of being disease-causing. All 313 variants have been interpreted by CFTR2 as CF-causing (pathogenic/likely pathogenic [P/LP]; n=296) or not CF-causing (benign/likely benign [B/LB]; n=17) using clinical and functional criteria. D BayPR probabilities of 313 CFTR variants stratified according to their functional consequence. E Receiver operating characteristic (ROC) curves were plotted for BayPR and ten in silico prediction algorithms using data from 101 CFTR missense variants. The reference standard are annotations in the CFTR2 database based on clinical and in vitro data. F Heatmap depicts estimated probability of a CFTR variant being associated with disease based on absolute counts of variants in the CFTR2 and gnomAD databases. The area in black represents a greater than 90% probability of being associated with CF and the area in light grey less than 10% probability. Importantly, this heatmap is only applicable to the CF data presented in this manuscript and does not apply to other genetic disorders. This heatmap was generated using the contour command in STATA IC 15, which uses thin plate splines for interpolation.

Article Snippet: Heatmaps were generated using the contour command in STATA IC 15, which uses thin plate splines for interpolation.

Techniques: Functional Assay, In Silico, In Vitro, Variant Assay, Generated

(a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command contourf. (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.

Journal: Journal of vision

Article Title: Statistics of natural scenes and cortical color processing

doi: 10.1167/10.11.21

Figure Lengend Snippet: (a) Spatial autocorrelation of the orientation field in natural images, shown over specific directions. The large-scale filters were used for smoothing the image before orientation and color computations. (b) An enlarged version of the autocorrelation for orientation. Contour plots are used to depict these functions, using the MATLAB command contourf. (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.

Article Snippet: Contour plots are used to depict these functions, using the MATLAB command contourf . (c) Spatial autocorrelation of the color field. (d) An enlarged view of the autocorrelation for color. (e) Spatial autocorrelation of luminance. (f) An enlarged view of the autocorrelation for luminance.

Techniques:

( a ) Relationship between the pump power and output power levels as a function of wavelength (MATLAB R2020b, contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.

Journal: Scientific Reports

Article Title: Hybrid Raman-erbium random fiber laser with a half open cavity assisted by artificially controlled backscattering fiber reflectors

doi: 10.1038/s41598-021-88748-w

Figure Lengend Snippet: ( a ) Relationship between the pump power and output power levels as a function of wavelength (MATLAB R2020b, contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.

Article Snippet: Figure 4 ( a ) Relationship between the pump power and output power levels as a function of wavelength (MATLAB R2020b, contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.

Techniques:

Wavelength shift of the half-open RFL assisted by chirped ACBFRs as a result of ( a ) temperature and ( b ) strain variations.

Journal: Scientific Reports

Article Title: Hybrid Raman-erbium random fiber laser with a half open cavity assisted by artificially controlled backscattering fiber reflectors

doi: 10.1038/s41598-021-88748-w

Figure Lengend Snippet: Wavelength shift of the half-open RFL assisted by chirped ACBFRs as a result of ( a ) temperature and ( b ) strain variations.

Article Snippet: Figure 4 ( a ) Relationship between the pump power and output power levels as a function of wavelength (MATLAB R2020b, contourf command. https://es.mathworks.com/products/matlab.html ). ( b ) Relationship between the output power and FHWM values as a function of pump power.

Techniques: