gaussian models Search Results


gaussian network model  (Dynomics Inc)
90
Dynomics Inc gaussian network model
Gaussian Network Model, supplied by Dynomics 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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gaussian network model - by Bioz Stars, 2026-03
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gaussian mixture model  (Optik GmbH)
90
Optik GmbH gaussian mixture model
Gaussian Mixture Model, supplied by Optik GmbH, 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/gaussian mixture model/product/Optik GmbH
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gaussian mixture model - by Bioz Stars, 2026-03
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stable non-gaussian random processes: stochastic models with infinite variance: stochastic modeling  (Routledge Ltd)
90
Routledge Ltd stable non-gaussian random processes: stochastic models with infinite variance: stochastic modeling
Stable Non Gaussian Random Processes: Stochastic Models With Infinite Variance: Stochastic Modeling, supplied by Routledge Ltd, 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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stable non-gaussian random processes: stochastic models with infinite variance: stochastic modeling - by Bioz Stars, 2026-03
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gaussian model  (Wolters Kluwer Health)
90
Wolters Kluwer Health gaussian model
Gaussian Model, supplied by Wolters Kluwer Health, 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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gaussian model - by Bioz Stars, 2026-03
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regression model  (Purdue University Cytometry)
90
Purdue University Cytometry regression model
Regression Model, supplied by Purdue University Cytometry, 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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Average 90 stars, based on 1 article reviews
regression model - by Bioz Stars, 2026-03
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gaussian process model  (Mauna Kea Technologies)
90
Mauna Kea Technologies gaussian process model
Gaussian Process Model, supplied by Mauna Kea Technologies, 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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Average 90 stars, based on 1 article reviews
gaussian process model - by Bioz Stars, 2026-03
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gaussian gwr model  (CH Instruments)
90
CH Instruments gaussian gwr model
Gaussian Gwr Model, 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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Average 90 stars, based on 1 article reviews
gaussian gwr model - by Bioz Stars, 2026-03
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gaussian mixture model  (Myspace LLC)
90
Myspace LLC gaussian mixture model
Gaussian Mixture Model, supplied by Myspace LLC, 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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gaussian mixture model - by Bioz Stars, 2026-03
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bimodal gaussian mixture model  (GraphPad Software Inc)
90
GraphPad Software Inc bimodal gaussian mixture model
GRE- and ARE-motif effect on mRNA stability Microarray-based mRNA half-life data (see Materials and Methods for details) were stratified according to the experimental condition, transcript type and half-life classification (short vs. long half-lives, based upon a <t>Gaussian-mixture</t> model fit. (A) The histograms of log-2 values (columns) of mRNA half-lives in each gene category (Control, ARE-genes and GRE-genes) were obtained and fitted using a bi-modal Gaussian mixture model (line). The control set represent mRNAs with neither ARE nor GRE. A representative model under the anti-CD3 experimental condition is shown. (B) The fraction of short half-life transcripts out of the total within each stratum. Data are Mean ± SEM and represent fitted parameter uncertainties. For each stimulus, ARE-mRNAs and GRE-mRNAs results were compared with the Control using the unpaired t-test with Bonferroni correction for multiple testing. **p < 0.01 and *p < 0.05. Using the 2-way ANOVA test, the effect of the motif (Control, ARE+ or GRE+) was found to be significant at p < 0.01. (C) A simpler classification scheme based on the arbitrary cutoff of 64 (26) minutes to classify short and long half-life transcripts yields essentially the same results as in (A). (D) The proportions of control mRNAs, ARE-mRNAs and GRE-mRNAs that do not change their stability patterns (non-switching class). p < 0.001 using chi-square analysis.
Bimodal Gaussian Mixture Model, 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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bimodal gaussian mixture model - by Bioz Stars, 2026-03
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gaussian multisource dispersion model immis net  (IVU Umwelt GmbH)
90
IVU Umwelt GmbH gaussian multisource dispersion model immis net
Description of the measured and modeled NO 2 and PM 2.5 (TSP) annual concentration for the study cohort ( n = 1,669).
Gaussian Multisource Dispersion Model Immis Net, supplied by IVU Umwelt GmbH, 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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r package for graphical gaussian models  (Genenet Co Ltd)
90
Genenet Co Ltd r package for graphical gaussian models
Description of the measured and modeled NO 2 and PM 2.5 (TSP) annual concentration for the study cohort ( n = 1,669).
R Package For Graphical Gaussian Models, supplied by Genenet Co Ltd, 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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r package for graphical gaussian models - by Bioz Stars, 2026-03
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gaussian mixture models  (Hasegawa Co Ltd)
90
Hasegawa Co Ltd gaussian mixture models
Description of the measured and modeled NO 2 and PM 2.5 (TSP) annual concentration for the study cohort ( n = 1,669).
Gaussian Mixture Models, supplied by Hasegawa Co Ltd, 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/gaussian mixture models/product/Hasegawa Co Ltd
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gaussian mixture models - by Bioz Stars, 2026-03
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Image Search Results


GRE- and ARE-motif effect on mRNA stability Microarray-based mRNA half-life data (see Materials and Methods for details) were stratified according to the experimental condition, transcript type and half-life classification (short vs. long half-lives, based upon a Gaussian-mixture model fit. (A) The histograms of log-2 values (columns) of mRNA half-lives in each gene category (Control, ARE-genes and GRE-genes) were obtained and fitted using a bi-modal Gaussian mixture model (line). The control set represent mRNAs with neither ARE nor GRE. A representative model under the anti-CD3 experimental condition is shown. (B) The fraction of short half-life transcripts out of the total within each stratum. Data are Mean ± SEM and represent fitted parameter uncertainties. For each stimulus, ARE-mRNAs and GRE-mRNAs results were compared with the Control using the unpaired t-test with Bonferroni correction for multiple testing. **p < 0.01 and *p < 0.05. Using the 2-way ANOVA test, the effect of the motif (Control, ARE+ or GRE+) was found to be significant at p < 0.01. (C) A simpler classification scheme based on the arbitrary cutoff of 64 (26) minutes to classify short and long half-life transcripts yields essentially the same results as in (A). (D) The proportions of control mRNAs, ARE-mRNAs and GRE-mRNAs that do not change their stability patterns (non-switching class). p < 0.001 using chi-square analysis.

Journal: RNA Biology

Article Title: Global assessment of GU-rich regulatory content and function in the human transcriptome

doi: 10.4161/rna.8.4.16283

Figure Lengend Snippet: GRE- and ARE-motif effect on mRNA stability Microarray-based mRNA half-life data (see Materials and Methods for details) were stratified according to the experimental condition, transcript type and half-life classification (short vs. long half-lives, based upon a Gaussian-mixture model fit. (A) The histograms of log-2 values (columns) of mRNA half-lives in each gene category (Control, ARE-genes and GRE-genes) were obtained and fitted using a bi-modal Gaussian mixture model (line). The control set represent mRNAs with neither ARE nor GRE. A representative model under the anti-CD3 experimental condition is shown. (B) The fraction of short half-life transcripts out of the total within each stratum. Data are Mean ± SEM and represent fitted parameter uncertainties. For each stimulus, ARE-mRNAs and GRE-mRNAs results were compared with the Control using the unpaired t-test with Bonferroni correction for multiple testing. **p < 0.01 and *p < 0.05. Using the 2-way ANOVA test, the effect of the motif (Control, ARE+ or GRE+) was found to be significant at p < 0.01. (C) A simpler classification scheme based on the arbitrary cutoff of 64 (26) minutes to classify short and long half-life transcripts yields essentially the same results as in (A). (D) The proportions of control mRNAs, ARE-mRNAs and GRE-mRNAs that do not change their stability patterns (non-switching class). p < 0.001 using chi-square analysis.

Article Snippet: We proceeded to estimate the ratio of the short set to the long set by fitting the histogram data with a bimodal Gaussian Mixture model using GraphPad Prism software functions.

Techniques: Microarray, Control

Description of the measured and modeled NO 2 and PM 2.5 (TSP) annual concentration for the study cohort ( n = 1,669).

Journal: Environmental Health Perspectives

Article Title: GIS-Based Estimation of Exposure to Particulate Matter and NO 2 in an Urban Area: Stochastic versus Dispersion Modeling

doi: 10.1289/ehp.7662

Figure Lengend Snippet: Description of the measured and modeled NO 2 and PM 2.5 (TSP) annual concentration for the study cohort ( n = 1,669).

Article Snippet: We used a Gaussian multisource dispersion model IMMIS net (IVU Umwelt GmbH, Sexau, Germany) for the calculation of annual mean values for NO 2 and total suspended particles (TSP; defined as airborne particles with a diameter < 30 μm) concentrations.

Techniques: Concentration Assay, Dispersion