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svr regression model  (Drucker Diagnostics)

 
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    Drucker Diagnostics svr regression model
    Svr Regression Model, supplied by Drucker Diagnostics, 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/product/svr+regression+model/svr+regression+model/10__1007_slash_s12599___024___00877___4-190-12-19
    Average 90 stars, based on 1 article reviews
    svr regression model - by Bioz Stars, 2026-08
    90/100 stars

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    ( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. <t>SVR</t> model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age <t>using</t> <t>multivariate</t> linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .
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    ( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

    Journal: Scientific Reports

    Article Title: A novel strategy for forensic age prediction by DNA methylation and support vector regression model

    doi: 10.1038/srep17788

    Figure Lengend Snippet: ( a ) The minimal MAD of predicted age as a function of the number of sites that compose the independent variables. The 11 CpG sites selected from the Sequenom MassARRAY dataset were combined to one to 11 independent variables. SVR model fit on all but one sample, and the minimal MAD of the predicted age was observed for a given number of independent variables. ( b ) Predicted versus observed age of all 49 subjects, using SVR model by six markers. MAD of 2.8 years was observed, which is slightly higher than that obtained by 11 markers. ( c ) Predicted versus observed age using multivariate linear regression by three DNA methylation markers obtained from a recent study . The original BeadChip data of these three sites were extracted to predict age by using a multivariate linear regression model, and an MAD of 6.27 years was obtained. ( d ) Predicted versus observed age using SVR by three DNA methylation markers obtained from a recent study . MAD of 4.23 years was obtained, which is better than the MAD obtained when using a multivariate linear regression (panel C), and better than the MAD obtained when using a multivariate linear regression based on pyrosequencing data in the published study (5.4 years) .

    Article Snippet: To build a robust predictor, we used four different models, viz., multivariate linear regression, multivariate nonlinear regression, back propagation (BP) neural network, and SVR, to test the accuracy of 11 CpG sites selected from the Sequenom dataset in age prediction ( ).

    Techniques: DNA Methylation Assay