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receiver operator curve auc values  (Genovis Inc)


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    Genovis Inc receiver operator curve auc values
    Receiver Operator Curve Auc Values, supplied by Genovis Inc, used in various techniques. Bioz Stars score: 93/100, based on 92 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/auc+value/OpeRATOR+Lyophilized/10__1016_slash_j__jhepr__2025__101668-517-15-16
    Average 93 stars, based on 92 article reviews
    receiver operator curve auc values - by Bioz Stars, 2026-11
    93/100 stars

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    Clinical Proteomics:

    Article Title: Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.
    Article Snippet: .. Abbreviations LADA Latent Autoimmune Diabetes in Adults T2DM Type 2 Diabetes T1DM Type 1 Diabetes IAA Insulin Autoantibodies ICA Islet Cell Autoantibodies GADA Glutamic Acid Decarboxylase Antibodies SHAP Shapley Additive Explanations LR Logistic Regression DT Decision Tree RF Random Forests KNN K-Nearest Neighbors SVM Support Vector Machine NNET Neural Networks XGBoost Extreme Gradient Boosting LightGBM Light Gradient Boosting Machine BMI Body Mass Index SBP Systolic Blood Pressure DBP Diastolic Blood Pressure FPG Fasting Plasma Glucose HbA1c Hemoglobin A1c FCP Fasting C-Peptide FI Fasting Insulin TC Total Cholesterol TG Triglycerides HDL-C High-Density Lipoprotein Cholesterol LDL-C Low-Density Lipoprotein Cholesterol ALT Alanine Aminotransferase AST Aspartate Aminotransferase BUN Blood Urea Nitrogen Scr Serum Creatinine UA Uric Acid ALB Albumin Levels WBC White Blood Cell TSH Thyroid-Stimulating Hormone FT3 Free Triiodothyronine FT4 Free Thyroxine; 25(OH)D:25-hydroxyvitamin D TyG Triglyceride-Glucose Index AIP Atherosclerotic Index of Plasma LASSO Least Absolute Shrinkage and Selection Operator VIF Variance Inflation Factor PPV Positive Predictive Value NPV Negative Predictive Value ROC Receiver Operating Characteristic AUC the Area Under the ROC Curve DCA Decision Curve Analysis Supplementary Information The online version contains supplementary material available at h t t p s : / / d o i . o r g / 1 0 . ..

    AST Assay:

    Article Title: Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.
    Article Snippet: .. Abbreviations LADA Latent Autoimmune Diabetes in Adults T2DM Type 2 Diabetes T1DM Type 1 Diabetes IAA Insulin Autoantibodies ICA Islet Cell Autoantibodies GADA Glutamic Acid Decarboxylase Antibodies SHAP Shapley Additive Explanations LR Logistic Regression DT Decision Tree RF Random Forests KNN K-Nearest Neighbors SVM Support Vector Machine NNET Neural Networks XGBoost Extreme Gradient Boosting LightGBM Light Gradient Boosting Machine BMI Body Mass Index SBP Systolic Blood Pressure DBP Diastolic Blood Pressure FPG Fasting Plasma Glucose HbA1c Hemoglobin A1c FCP Fasting C-Peptide FI Fasting Insulin TC Total Cholesterol TG Triglycerides HDL-C High-Density Lipoprotein Cholesterol LDL-C Low-Density Lipoprotein Cholesterol ALT Alanine Aminotransferase AST Aspartate Aminotransferase BUN Blood Urea Nitrogen Scr Serum Creatinine UA Uric Acid ALB Albumin Levels WBC White Blood Cell TSH Thyroid-Stimulating Hormone FT3 Free Triiodothyronine FT4 Free Thyroxine; 25(OH)D:25-hydroxyvitamin D TyG Triglyceride-Glucose Index AIP Atherosclerotic Index of Plasma LASSO Least Absolute Shrinkage and Selection Operator VIF Variance Inflation Factor PPV Positive Predictive Value NPV Negative Predictive Value ROC Receiver Operating Characteristic AUC the Area Under the ROC Curve DCA Decision Curve Analysis Supplementary Information The online version contains supplementary material available at h t t p s : / / d o i . o r g / 1 0 . ..

    Selection:

    Article Title: Predicting carotid atherosclerosis in latent autoimmune diabetes in adult patients using machine learning models: a retrospective study.
    Article Snippet: .. Abbreviations LADA Latent Autoimmune Diabetes in Adults T2DM Type 2 Diabetes T1DM Type 1 Diabetes IAA Insulin Autoantibodies ICA Islet Cell Autoantibodies GADA Glutamic Acid Decarboxylase Antibodies SHAP Shapley Additive Explanations LR Logistic Regression DT Decision Tree RF Random Forests KNN K-Nearest Neighbors SVM Support Vector Machine NNET Neural Networks XGBoost Extreme Gradient Boosting LightGBM Light Gradient Boosting Machine BMI Body Mass Index SBP Systolic Blood Pressure DBP Diastolic Blood Pressure FPG Fasting Plasma Glucose HbA1c Hemoglobin A1c FCP Fasting C-Peptide FI Fasting Insulin TC Total Cholesterol TG Triglycerides HDL-C High-Density Lipoprotein Cholesterol LDL-C Low-Density Lipoprotein Cholesterol ALT Alanine Aminotransferase AST Aspartate Aminotransferase BUN Blood Urea Nitrogen Scr Serum Creatinine UA Uric Acid ALB Albumin Levels WBC White Blood Cell TSH Thyroid-Stimulating Hormone FT3 Free Triiodothyronine FT4 Free Thyroxine; 25(OH)D:25-hydroxyvitamin D TyG Triglyceride-Glucose Index AIP Atherosclerotic Index of Plasma LASSO Least Absolute Shrinkage and Selection Operator VIF Variance Inflation Factor PPV Positive Predictive Value NPV Negative Predictive Value ROC Receiver Operating Characteristic AUC the Area Under the ROC Curve DCA Decision Curve Analysis Supplementary Information The online version contains supplementary material available at h t t p s : / / d o i . o r g / 1 0 . ..



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    Bacteriocin presence and inhibitory activity of non-O157:H7 E. coli strains against O157:H7. ( A ) In vitro inhibition of E. coli O157:H7 by heat-inactivated cell-free supernatants of bovine non-O157:H7 strains under anaerobic conditions. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for each of the O157:H7 strains treated with heat-inactivated cell-free supernatant from each of the non-O157:H7 strains were calculated and compared to the mean AUC values for each O157:H7 strain grown in TSB alone to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean area under the curve (AUC) values from growth curves of E. coli O157:H7 indicator strains (ATCC 43888 and ATCC 700728) with and without exposure to heat-inactivated, cell-free supernatants of the bovine non-O157:H7 isolates. Four replicates were conducted for each inhibition assay. Statistical comparisons were made between both bovine non-O157:H7 isolate and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. ( B ) Antimicrobial peptides identified in bovine non-O157:H7 and E. coli O157:H7 isolates with Bagel5. Present genes are denoted in blue, and the absence of the gene is denoted in gray.

    Journal: Microorganisms

    Article Title: Inhibition of Escherichia coli O157:H7 Growth Through Nutrient Competition by Non-O157 E. coli Isolated from Cattle

    doi: 10.3390/microorganisms13122811

    Figure Lengend Snippet: Bacteriocin presence and inhibitory activity of non-O157:H7 E. coli strains against O157:H7. ( A ) In vitro inhibition of E. coli O157:H7 by heat-inactivated cell-free supernatants of bovine non-O157:H7 strains under anaerobic conditions. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for each of the O157:H7 strains treated with heat-inactivated cell-free supernatant from each of the non-O157:H7 strains were calculated and compared to the mean AUC values for each O157:H7 strain grown in TSB alone to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean area under the curve (AUC) values from growth curves of E. coli O157:H7 indicator strains (ATCC 43888 and ATCC 700728) with and without exposure to heat-inactivated, cell-free supernatants of the bovine non-O157:H7 isolates. Four replicates were conducted for each inhibition assay. Statistical comparisons were made between both bovine non-O157:H7 isolate and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. ( B ) Antimicrobial peptides identified in bovine non-O157:H7 and E. coli O157:H7 isolates with Bagel5. Present genes are denoted in blue, and the absence of the gene is denoted in gray.

    Article Snippet: Area under the curve (AUC) values of E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) exposed to heat-inactivated, cell-free supernatants from unique bovine non-O157:H7 E. coli strains; Table S5.

    Techniques: Activity Assay, In Vitro, Inhibition

    Nutrient utilization profiles of non-O157:H7 E. coli strains as compared to two O157:H7 strains. ( A ) Percent difference in mean area under the curve (AUC) values for bovine non-O157:H7 strains compared to two E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) in minimal media supplemented with different carbon sources. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each strain. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. * indicates p < 0.05; ** indicates p < 0.01; *** indicates p < 0.001. ( B ) Percent difference in mean AUC for bovine non-O157:H7 strains compared to ATCC 43888 and ATCC 700728 in minimal media supplemented with ethanolamine as either a carbon or nitrogen source. AUC values were determined from OD 630 growth curve data using GrowthCurveR. Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dyplr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each isolate. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD using the stats (v3.6.2) package in R. ( C ) KEGG pathway completeness in bovine non-O157:H7 strains and both O157:H7 strains for the catabolism of ethanolamine, galactose, gluconate, glucuronate, mannose, and ribose. Blue denotes a gene as present and the intensity denotes the number of copies of that gene from the Eggnog-mapper (v2.18) annotation of that strain genome. Pathway completeness was determined with ggKegg (v1.1.18).

    Journal: Microorganisms

    Article Title: Inhibition of Escherichia coli O157:H7 Growth Through Nutrient Competition by Non-O157 E. coli Isolated from Cattle

    doi: 10.3390/microorganisms13122811

    Figure Lengend Snippet: Nutrient utilization profiles of non-O157:H7 E. coli strains as compared to two O157:H7 strains. ( A ) Percent difference in mean area under the curve (AUC) values for bovine non-O157:H7 strains compared to two E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) in minimal media supplemented with different carbon sources. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each strain. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. * indicates p < 0.05; ** indicates p < 0.01; *** indicates p < 0.001. ( B ) Percent difference in mean AUC for bovine non-O157:H7 strains compared to ATCC 43888 and ATCC 700728 in minimal media supplemented with ethanolamine as either a carbon or nitrogen source. AUC values were determined from OD 630 growth curve data using GrowthCurveR. Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dyplr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each isolate. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD using the stats (v3.6.2) package in R. ( C ) KEGG pathway completeness in bovine non-O157:H7 strains and both O157:H7 strains for the catabolism of ethanolamine, galactose, gluconate, glucuronate, mannose, and ribose. Blue denotes a gene as present and the intensity denotes the number of copies of that gene from the Eggnog-mapper (v2.18) annotation of that strain genome. Pathway completeness was determined with ggKegg (v1.1.18).

    Article Snippet: Area under the curve (AUC) values of E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) exposed to heat-inactivated, cell-free supernatants from unique bovine non-O157:H7 E. coli strains; Table S5.

    Techniques:

    Bacteriocin presence and inhibitory activity of non-O157:H7 E. coli strains against O157:H7. ( A ) In vitro inhibition of E. coli O157:H7 by heat-inactivated cell-free supernatants of bovine non-O157:H7 strains under anaerobic conditions. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for each of the O157:H7 strains treated with heat-inactivated cell-free supernatant from each of the non-O157:H7 strains were calculated and compared to the mean AUC values for each O157:H7 strain grown in TSB alone to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean area under the curve (AUC) values from growth curves of E. coli O157:H7 indicator strains (ATCC 43888 and ATCC 700728) with and without exposure to heat-inactivated, cell-free supernatants of the bovine non-O157:H7 isolates. Four replicates were conducted for each inhibition assay. Statistical comparisons were made between both bovine non-O157:H7 isolate and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. ( B ) Antimicrobial peptides identified in bovine non-O157:H7 and E. coli O157:H7 isolates with Bagel5. Present genes are denoted in blue, and the absence of the gene is denoted in gray.

    Journal: Microorganisms

    Article Title: Inhibition of Escherichia coli O157:H7 Growth Through Nutrient Competition by Non-O157 E. coli Isolated from Cattle

    doi: 10.3390/microorganisms13122811

    Figure Lengend Snippet: Bacteriocin presence and inhibitory activity of non-O157:H7 E. coli strains against O157:H7. ( A ) In vitro inhibition of E. coli O157:H7 by heat-inactivated cell-free supernatants of bovine non-O157:H7 strains under anaerobic conditions. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for each of the O157:H7 strains treated with heat-inactivated cell-free supernatant from each of the non-O157:H7 strains were calculated and compared to the mean AUC values for each O157:H7 strain grown in TSB alone to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean area under the curve (AUC) values from growth curves of E. coli O157:H7 indicator strains (ATCC 43888 and ATCC 700728) with and without exposure to heat-inactivated, cell-free supernatants of the bovine non-O157:H7 isolates. Four replicates were conducted for each inhibition assay. Statistical comparisons were made between both bovine non-O157:H7 isolate and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. ( B ) Antimicrobial peptides identified in bovine non-O157:H7 and E. coli O157:H7 isolates with Bagel5. Present genes are denoted in blue, and the absence of the gene is denoted in gray.

    Article Snippet: Strains 14_437FEN5, 61_438REC, 69_426FEC, and 87_435FED produced significantly higher AUC values than both O157:H7 strains (ATCC 700728 and ATCC 43888) for all nutrients tested outside of ethanolamine, and were combined into a consortium which was deemed “highly competitive” (HC) for the nutrients tested.

    Techniques: Activity Assay, In Vitro, Inhibition

    Nutrient utilization profiles of non-O157:H7 E. coli strains as compared to two O157:H7 strains. ( A ) Percent difference in mean area under the curve (AUC) values for bovine non-O157:H7 strains compared to two E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) in minimal media supplemented with different carbon sources. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each strain. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. * indicates p < 0.05; ** indicates p < 0.01; *** indicates p < 0.001. ( B ) Percent difference in mean AUC for bovine non-O157:H7 strains compared to ATCC 43888 and ATCC 700728 in minimal media supplemented with ethanolamine as either a carbon or nitrogen source. AUC values were determined from OD 630 growth curve data using GrowthCurveR. Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dyplr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each isolate. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD using the stats (v3.6.2) package in R. ( C ) KEGG pathway completeness in bovine non-O157:H7 strains and both O157:H7 strains for the catabolism of ethanolamine, galactose, gluconate, glucuronate, mannose, and ribose. Blue denotes a gene as present and the intensity denotes the number of copies of that gene from the Eggnog-mapper (v2.18) annotation of that strain genome. Pathway completeness was determined with ggKegg (v1.1.18).

    Journal: Microorganisms

    Article Title: Inhibition of Escherichia coli O157:H7 Growth Through Nutrient Competition by Non-O157 E. coli Isolated from Cattle

    doi: 10.3390/microorganisms13122811

    Figure Lengend Snippet: Nutrient utilization profiles of non-O157:H7 E. coli strains as compared to two O157:H7 strains. ( A ) Percent difference in mean area under the curve (AUC) values for bovine non-O157:H7 strains compared to two E. coli O157:H7 strains (ATCC 43888 and ATCC 700728) in minimal media supplemented with different carbon sources. AUC values were determined from OD 630 growth curve data using GrowthCurveR (v0.3.1). Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dplyr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each strain. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD within the stats (v3.6.2) package in R. * indicates p < 0.05; ** indicates p < 0.01; *** indicates p < 0.001. ( B ) Percent difference in mean AUC for bovine non-O157:H7 strains compared to ATCC 43888 and ATCC 700728 in minimal media supplemented with ethanolamine as either a carbon or nitrogen source. AUC values were determined from OD 630 growth curve data using GrowthCurveR. Mean AUC values for non-O157:H7 strains in each nutrient condition were calculated and compared to the mean AUC values for each O157:H7 strain to determine the percent difference (%diff) in AUC with dyplr (v1.1.4). Heatmap intensity corresponds to the %diff in the mean AUC values. Three replicates were conducted for each isolate. Statistical comparisons were made between bovine non-O157:H7 strains and each of the two E. coli O157:H7 strains with tukeyHSD using the stats (v3.6.2) package in R. ( C ) KEGG pathway completeness in bovine non-O157:H7 strains and both O157:H7 strains for the catabolism of ethanolamine, galactose, gluconate, glucuronate, mannose, and ribose. Blue denotes a gene as present and the intensity denotes the number of copies of that gene from the Eggnog-mapper (v2.18) annotation of that strain genome. Pathway completeness was determined with ggKegg (v1.1.18).

    Article Snippet: Strains 14_437FEN5, 61_438REC, 69_426FEC, and 87_435FED produced significantly higher AUC values than both O157:H7 strains (ATCC 700728 and ATCC 43888) for all nutrients tested outside of ethanolamine, and were combined into a consortium which was deemed “highly competitive” (HC) for the nutrients tested.

    Techniques: