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MathWorks Inc matlab software suite
Matlab Software Suite, 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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MathWorks Inc 7.4 software suite
7.4 Software Suite, 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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MathWorks Inc sti suite
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MathWorks Inc matlab software
Matlab Software, 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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MathWorks Inc vbfret software suite
Vbfret Software Suite, 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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MathWorks Inc software suite matlab r2012a
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
Software Suite Matlab R2012a, 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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Average 90 stars, based on 1 article reviews
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MathWorks Inc software suite matlab r2015b
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
Software Suite Matlab R2015b, 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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MathWorks Inc software suite matlab r2018a
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
Software Suite Matlab R2018a, 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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MathWorks Inc matlab r2017a
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
Matlab R2017a, 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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MathWorks Inc 2014a software suite
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
2014a Software Suite, 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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MathWorks Inc matlab 6.0 software
Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the <t>MATLAB</t> function PCHIP. See Supplemental Digital Content for further details.
Matlab 6.0 Software, 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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Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the MATLAB function PCHIP. See Supplemental Digital Content for further details.

Journal: Anesthesia and Analgesia

Article Title: Mechanistic Modeling of the Effects of Acidosis on Thrombin Generation

doi: 10.1213/ANE.0000000000000733

Figure Lengend Snippet: Relative enzyme activity as a function of pH. For every considered acidotic pH level, the pH factor values (which express enzymatic activity relative to that at pH 7.4) were sampled uniformly from the interval delimited by the dashed lines at that pH level. For the pH levels of 6.9, 7.1, and 7.3, such intervals are indicated by black arrows. The dashed lines were obtained by increasing (by 100%) the distance between the solid lines, which approximate the experimental data (extracted from Figs. 2 and 3 in Meng et al. ) shown with square markers. The markers on the upper and lower solid lines correspond to the enzymatic activity of the extrinsic tenase and prothrombinase coagulation factor complexes, respectively. The solid lines were fitted to the experimental data using the MATLAB function PCHIP. See Supplemental Digital Content for further details.

Article Snippet: All computations were performed in the software suite MATLAB R2012a (MathWorks, Natick, MA).

Techniques: Activity Assay, Coagulation

Fold change distributions in the virtual Leiden Thrombophilia Study (LETS) subject group for the 5 thrombin generation parameters and prothrombin time. For each virtual LETS subject, each parameter, and each acidotic pH level, fold_change = AV/NV if AV > NV and fold_change = NV/AV otherwise, where AV and NV are the acidotic and physiological values of the parameter in that subject, respectively. The plots show distribution histograms generated using the MATLAB function HIST with 100 bins splitting up the interval between 1 and the maximum parameter fold change value for a given pH level. CT = clotting time; PT = thrombin peak time; MS = maximum slope of the thrombin trajectory; PH = thrombin peak height; AUC = area under the thrombin trajectory (or “curve”).

Journal: Anesthesia and Analgesia

Article Title: Mechanistic Modeling of the Effects of Acidosis on Thrombin Generation

doi: 10.1213/ANE.0000000000000733

Figure Lengend Snippet: Fold change distributions in the virtual Leiden Thrombophilia Study (LETS) subject group for the 5 thrombin generation parameters and prothrombin time. For each virtual LETS subject, each parameter, and each acidotic pH level, fold_change = AV/NV if AV > NV and fold_change = NV/AV otherwise, where AV and NV are the acidotic and physiological values of the parameter in that subject, respectively. The plots show distribution histograms generated using the MATLAB function HIST with 100 bins splitting up the interval between 1 and the maximum parameter fold change value for a given pH level. CT = clotting time; PT = thrombin peak time; MS = maximum slope of the thrombin trajectory; PH = thrombin peak height; AUC = area under the thrombin trajectory (or “curve”).

Article Snippet: All computations were performed in the software suite MATLAB R2012a (MathWorks, Natick, MA).

Techniques: Generated, Coagulation

Thrombin generation parameter distributions (including prothrombin time) in the virtual Leiden Thrombophilia Study (LETS) subject group for different pH levels. The plots show distribution histograms generated using the MATLAB function HIST with 50 bins splitting up the interval between 0 and the maximum value for a given thrombin generation parameter. CT = clotting time; PT = thrombin peak time; MS = maximum slope of the thrombin trajectory; PH = thrombin peak height; AUC = area under the thrombin trajectory (or “curve”).

Journal: Anesthesia and Analgesia

Article Title: Mechanistic Modeling of the Effects of Acidosis on Thrombin Generation

doi: 10.1213/ANE.0000000000000733

Figure Lengend Snippet: Thrombin generation parameter distributions (including prothrombin time) in the virtual Leiden Thrombophilia Study (LETS) subject group for different pH levels. The plots show distribution histograms generated using the MATLAB function HIST with 50 bins splitting up the interval between 0 and the maximum value for a given thrombin generation parameter. CT = clotting time; PT = thrombin peak time; MS = maximum slope of the thrombin trajectory; PH = thrombin peak height; AUC = area under the thrombin trajectory (or “curve”).

Article Snippet: All computations were performed in the software suite MATLAB R2012a (MathWorks, Natick, MA).

Techniques: Generated, Coagulation